Writing.io Jobs

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: USA

About the Team

Cloudflare is changing how it grows and how it measures growth and Revenue and Consumption is becoming a core Go-To-Market (GTM) metric that shapes our GTM motions.

The Consumption Transformation Team is the design engine for that change. Working closely with GTM leaders and the Developer leadership team, we help define the metric, draft and enforce the Rules of Engagement (ROE) for Consumption, build the analytics and field reporting, and support enablement, landing, and continuous improvement. We are a partnering team and aim to work cross functionally to support our internal functions successfully in a consumption business. This is a new team, so you will be building the way we work, and we expect successful candidates to use AI every day to take on more than a team this size normally could.

About the Role

You will turn the Consumption strategy into working models, trusted data, and clear answers for the field. You will design, build, and land the targeting models, build scorecards with our cross-functional partners and Data and Analytics Leader, give Geo Ops analytics they need to run their business, and be the first stop when our field teams seek clarity on our data, reporting, and use this to improve our models.

What you’ll do

• Design, model, and land targets: Build and evolve our target setting model, and own the methodology. Back-test them, land them with GTM leaders, and keep improving them.
• Execute the strategy: Take direction from the Strategy Lead and turn it into working methods and recommendations, and flag early when the data says the plan should change.
• Build scorecards: Work with our DIA and GTM Analytics teams to build and maintain scorecards with cross-functional partners covering field performance, data quality, and disputes.
• Protect data integrity: Validate actuals, baselines, targets, revenue attribution, and account ownership against source systems such as BigQuery, and tie GTM Revenue back to Finance and Billing.
• Support the field and apply the Rules of Engagement: Answer field questions and cases on baselines, quotas, crediting, and ownership, applying the Rules of Engagement consistently and keeping a record of each decision. Spot where a rule needs to change, and provide the account hierarchy and ownership data teams need to collaborate across geos on our most critical customers.
• Support territory planning and partner across teams: Provide analytics to Geo Ops and central territory design so they can deliver successful territory and coverage plans with equitable distribution of opportunity and targets. Work with Finance, Billing, data engineering, IT, RevOps, and Compensation to define data needs and move manual spreadsheet work into governed data products.
• Use AI to scale the work: Use AI tools, to write and review SQL, speed up reconciliations, draft answers to common field questions, and automate recurring checks. Review every result for accuracy and follow Cloudflare policy on confidential data.

Examples of desirable skills, knowledge and experience

• Experience: 5 or more years in sales operations, revenue operations, business analytics, target setting or territory modelling, or data operations, ideally in a usage-based or billing-driven business
• Modelling: You can build and back-test a quota or forecast model and explain its assumptions
• SQL and data: Strong SQL on large datasets (BigQuery or similar), reconciling against CRM and billing data
• Reporting: You have built scorecards or dashboards that other teams rely on
• Controls and policy mindset: You understand why accuracy, documentation, and an audit trail matter when numbers drive pay, and you can apply a written policy such as the Rules of Engagement consistently to real cases
• Communication: You explain technical answers clearly and calmly to sellers and managers, and work well with Geo Ops, Finance, Billing, data engineering, and IT
• AI fluency: You already use AI assistants and agents in your daily work for analysis, coding, and documentation, check their output against the data, and can show examples of work you made faster or better with AI

Bonus points

• Salesforce: Experience with reports, SQL, account hierarchies, and ownership rules
• Building with AI: Experience building your own automations, agents, or prompts that handle routine analysis, reporting, or support questions

Compensation

Compensation may be adjusted depending on work location.

• For SF, SJ, and Bay Area Metro based hires: Estimated annual salary of $138,000 - $190,000.
• For Boston, California - Remote, Connecticut - Remote, DC Metro, Massachusetts - Remote, New Jersey - Remote, New York City, NY Metro, Remote - Washington, Washington (Kirkland), and Washington D.C. based hires: Estimated annual salary of $132,000 - $182,000.
• For Colorado - Remote, Illinois - Remote, Maryland - Remote, Minnesota - Remote, Nevada - Remote, New York - Remote, Rhode Island - Remote, and Vermont - Remote based hires: Estimated annual base salary of $120,000 - $165,000.

CO ONLY Application Deadline: January, 17 2027

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you’d like.

Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation.

This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight.

This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours.

Responsibilities:

• Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration.
• Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.
• Build and evaluate decision systems. Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem.
• Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation.
• Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria.
• Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes.
• Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations.
• Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements.
• Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise.
• Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically.

Required Qualifications:

• Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).
• Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving.
• Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines.
• Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection).
• Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.
• Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams.
• Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.

Preferred qualifications

• Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain.
• Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation.
• Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs.
• Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning.
• Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity.
• Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-SP1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$190,800—$267,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: USA

About the Team

Cloudflare is changing how it grows and how it measures growth and Revenue and Consumption is becoming a core Go-To-Market (GTM) metric that shapes our GTM motions.

The Consumption Transformation Team is the design engine for that change. Working closely with GTM leaders and the Developer leadership team, we help define the metric, draft and enforce the Rules of Engagement (ROE) for Consumption, build the analytics and field reporting, and support enablement, landing, and continuous improvement. We are a partnering team and aim to work cross functionally to support our internal functions successfully in a consumption business. This is a new team, so you will be building the way we work, and we expect successful candidates to use AI every day to take on more than a team this size normally could.

About the Role

You will turn the Consumption strategy into working models, trusted data, and clear answers for the field. You will design, build, and land the targeting models, build scorecards with our cross-functional partners and Data and Analytics Leader, give Geo Ops analytics they need to run their business, and be the first stop when our field teams seek clarity on our data, reporting, and use this to improve our models.

What you’ll do

• Design, model, and land targets: Build and evolve our target setting model, and own the methodology. Back-test them, land them with GTM leaders, and keep improving them.
• Execute the strategy: Take direction from the Strategy Lead and turn it into working methods and recommendations, and flag early when the data says the plan should change.
• Build scorecards: Work with our DIA and GTM Analytics teams to build and maintain scorecards with cross-functional partners covering field performance, data quality, and disputes.
• Protect data integrity: Validate actuals, baselines, targets, revenue attribution, and account ownership against source systems such as BigQuery, and tie GTM Revenue back to Finance and Billing.
• Support the field and apply the Rules of Engagement: Answer field questions and cases on baselines, quotas, crediting, and ownership, applying the Rules of Engagement consistently and keeping a record of each decision. Spot where a rule needs to change, and provide the account hierarchy and ownership data teams need to collaborate across geos on our most critical customers.
• Support territory planning and partner across teams: Provide analytics to Geo Ops and central territory design so they can deliver successful territory and coverage plans with equitable distribution of opportunity and targets. Work with Finance, Billing, data engineering, IT, RevOps, and Compensation to define data needs and move manual spreadsheet work into governed data products.
• Use AI to scale the work: Use AI tools, to write and review SQL, speed up reconciliations, draft answers to common field questions, and automate recurring checks. Review every result for accuracy and follow Cloudflare policy on confidential data.

Examples of desirable skills, knowledge and experience

• Experience: 5 or more years in sales operations, revenue operations, business analytics, target setting or territory modelling, or data operations, ideally in a usage-based or billing-driven business
• Modelling: You can build and back-test a quota or forecast model and explain its assumptions
• SQL and data: Strong SQL on large datasets (BigQuery or similar), reconciling against CRM and billing data
• Reporting: You have built scorecards or dashboards that other teams rely on
• Controls and policy mindset: You understand why accuracy, documentation, and an audit trail matter when numbers drive pay, and you can apply a written policy such as the Rules of Engagement consistently to real cases
• Communication: You explain technical answers clearly and calmly to sellers and managers, and work well with Geo Ops, Finance, Billing, data engineering, and IT
• AI fluency: You already use AI assistants and agents in your daily work for analysis, coding, and documentation, check their output against the data, and can show examples of work you made faster or better with AI

Bonus points

• Salesforce: Experience with reports, SQL, account hierarchies, and ownership rules
• Building with AI: Experience building your own automations, agents, or prompts that handle routine analysis, reporting, or support questions

Compensation

Compensation may be adjusted depending on work location.

• For SF, SJ, and Bay Area Metro based hires: Estimated annual salary of $138,000 - $190,000.
• For Boston, California - Remote, Connecticut - Remote, DC Metro, Massachusetts - Remote, New Jersey - Remote, New York City, NY Metro, Remote - Washington, Washington (Kirkland), and Washington D.C. based hires: Estimated annual salary of $132,000 - $182,000.
• For Colorado - Remote, Illinois - Remote, Maryland - Remote, Minnesota - Remote, Nevada - Remote, New York - Remote, Rhode Island - Remote, and Vermont - Remote based hires: Estimated annual base salary of $120,000 - $165,000.

CO ONLY Application Deadline: January, 17 2027

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you’d like.

Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation.

This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight.

This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours.

Responsibilities:

• Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration.
• Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.
• Build and evaluate decision systems. Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem.
• Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation.
• Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria.
• Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes.
• Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations.
• Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements.
• Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise.
• Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically.

Required Qualifications:

• Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).
• Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving.
• Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines.
• Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection).
• Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.
• Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams.
• Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.

Preferred qualifications

• Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain.
• Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation.
• Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs.
• Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning.
• Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity.
• Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-SP1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$190,800—$267,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: USA

About the Team

Cloudflare is changing how it grows and how it measures growth and Revenue and Consumption is becoming a core Go-To-Market (GTM) metric that shapes our GTM motions.

The Consumption Transformation Team is the design engine for that change. Working closely with GTM leaders and the Developer leadership team, we help define the metric, draft and enforce the Rules of Engagement (ROE) for Consumption, build the analytics and field reporting, and support enablement, landing, and continuous improvement. We are a partnering team and aim to work cross functionally to support our internal functions successfully in a consumption business. This is a new team, so you will be building the way we work, and we expect successful candidates to use AI every day to take on more than a team this size normally could.

About the Role

You will turn the Consumption strategy into working models, trusted data, and clear answers for the field. You will design, build, and land the targeting models, build scorecards with our cross-functional partners and Data and Analytics Leader, give Geo Ops analytics they need to run their business, and be the first stop when our field teams seek clarity on our data, reporting, and use this to improve our models.

What you’ll do

• Design, model, and land targets: Build and evolve our target setting model, and own the methodology. Back-test them, land them with GTM leaders, and keep improving them.
• Execute the strategy: Take direction from the Strategy Lead and turn it into working methods and recommendations, and flag early when the data says the plan should change.
• Build scorecards: Work with our DIA and GTM Analytics teams to build and maintain scorecards with cross-functional partners covering field performance, data quality, and disputes.
• Protect data integrity: Validate actuals, baselines, targets, revenue attribution, and account ownership against source systems such as BigQuery, and tie GTM Revenue back to Finance and Billing.
• Support the field and apply the Rules of Engagement: Answer field questions and cases on baselines, quotas, crediting, and ownership, applying the Rules of Engagement consistently and keeping a record of each decision. Spot where a rule needs to change, and provide the account hierarchy and ownership data teams need to collaborate across geos on our most critical customers.
• Support territory planning and partner across teams: Provide analytics to Geo Ops and central territory design so they can deliver successful territory and coverage plans with equitable distribution of opportunity and targets. Work with Finance, Billing, data engineering, IT, RevOps, and Compensation to define data needs and move manual spreadsheet work into governed data products.
• Use AI to scale the work: Use AI tools, to write and review SQL, speed up reconciliations, draft answers to common field questions, and automate recurring checks. Review every result for accuracy and follow Cloudflare policy on confidential data.

Examples of desirable skills, knowledge and experience

• Experience: 5 or more years in sales operations, revenue operations, business analytics, target setting or territory modelling, or data operations, ideally in a usage-based or billing-driven business
• Modelling: You can build and back-test a quota or forecast model and explain its assumptions
• SQL and data: Strong SQL on large datasets (BigQuery or similar), reconciling against CRM and billing data
• Reporting: You have built scorecards or dashboards that other teams rely on
• Controls and policy mindset: You understand why accuracy, documentation, and an audit trail matter when numbers drive pay, and you can apply a written policy such as the Rules of Engagement consistently to real cases
• Communication: You explain technical answers clearly and calmly to sellers and managers, and work well with Geo Ops, Finance, Billing, data engineering, and IT
• AI fluency: You already use AI assistants and agents in your daily work for analysis, coding, and documentation, check their output against the data, and can show examples of work you made faster or better with AI

Bonus points

• Salesforce: Experience with reports, SQL, account hierarchies, and ownership rules
• Building with AI: Experience building your own automations, agents, or prompts that handle routine analysis, reporting, or support questions

Compensation

Compensation may be adjusted depending on work location.

• For SF, SJ, and Bay Area Metro based hires: Estimated annual salary of $138,000 - $190,000.
• For Boston, California - Remote, Connecticut - Remote, DC Metro, Massachusetts - Remote, New Jersey - Remote, New York City, NY Metro, Remote - Washington, Washington (Kirkland), and Washington D.C. based hires: Estimated annual salary of $132,000 - $182,000.
• For Colorado - Remote, Illinois - Remote, Maryland - Remote, Minnesota - Remote, Nevada - Remote, New York - Remote, Rhode Island - Remote, and Vermont - Remote based hires: Estimated annual base salary of $120,000 - $165,000.

CO ONLY Application Deadline: January, 17 2027

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you’d like.

Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation.

This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight.

This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours.

Responsibilities:

• Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration.
• Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.
• Build and evaluate decision systems. Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem.
• Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation.
• Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria.
• Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes.
• Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations.
• Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements.
• Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise.
• Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically.

Required Qualifications:

• Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).
• Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving.
• Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines.
• Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection).
• Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.
• Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams.
• Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.

Preferred qualifications

• Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain.
• Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation.
• Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs.
• Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning.
• Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity.
• Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-SP1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$190,800—$267,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Company Description

At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you’ll have the opportunity to join our quest for better health care, no matter where you work within the Northwestern Medicine system. We pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, our goal is to take care of our employees. Ready to join our quest for better?

Job Description

The HB Coding Strategic Data Analyst role exists to transform complex coding into actionable insights that drive performance, compliance, and strategic decision-making across Northwestern Medicine’s Hospital Billing Coding operations. The position serves as a critical link between data, technology, and operational leadership by providing meaningful analysis and reporting that supports efficient workflows, revenue cycle performance, coding quality, productivity, and organizational goals.

Through the development and management of reports, dashboards, performance metrics, and analytics, this role enables coding leadership to identify outpatient trends, measure outcomes, evaluate operational effectiveness, and make informed decisions that improve financial performance, and coding accuracy. The HB Coding Strategic Data Analyst supports Coding leadership, ensuring leaders have the data and insights needed to manage resources, prioritize initiatives, and plan for future organizational needs.

Additionally, the position fosters collaboration among key stakeholders to support reporting, workflow optimization, technology enhancements, and process improvement initiatives. By leveraging data analytics, Epic, and other reporting tools, the HB Coding Strategic Data Analyst helps advance operational excellence, support organizational growth, and contribute to Northwestern Medicine’s commitment to high-quality patient care and financial stewardship.

This position is 100% remote

Responsibilities:

• Serves as the primary analytics resource for Coding Leadership transforming coding, revenue cycle, operational, and financial data into actionable insights that support strategic and operational decision-making.
• Develop, maintain, and enhance dashboards, scorecards, key performance indicators (KPIs), routine reports, and ad hoc analyses related to productivity, quality, accounts receivable, budgets, vendor performance, and workflow outcomes on a daily, weekly, monthly, and fiscal-year cadence.
• Analyze coding and revenue cycle data to identify trends, risks, variances, and improvement opportunities, and provide actionable recommendations to leadership and operational teams.
• Translate complex analytical findings into clear reports, presentations, and visualizations that communicate performance results, risks, opportunities, and recommendations to stakeholders.
• Collaborate with internal and external stakeholders to resolve issues, support reporting needs, and achieve organizational objectives.
• Utilize Epic, computer-assisted coding (CAC) technology, Power BI, Microsoft applications, and reporting tools to evaluate system functionality, validate business requirements, coordinates user acceptance testing, post-implementation validation, and optimize operational performance.
• Coordinate coding technology activities by documenting workflows, supporting upgrades and troubleshooting efforts, managing IS ticket documentation and status reporting, and serving as a subject matter expert for Epic and CAC workflows.
• Lead and support reporting, technology, and continuous improvement initiatives by applying project management principles, strengthening data integrity, documenting requirements and decisions, and streamlining departmental workflows.

Additional Functions

• Other duties as assigned

Qualifications

Minimum Requirements:

• Education: Associate’s degree in health information management, Health Informatics, or a related field; or equivalent education and relevant experience.
• Experience:
  • 3 years of data analytics
  • Working knowledge of Key Performance Indicators management
  • Microsoft Office, including advanced Excel functions
  • Epic and computer-assisted coding technology
• Licensure: None required.
• Certification:
  • HIM Membership: AHIMA or AAPC
  • Epic certification: Applicable Epic reporting certification required at hire or within six months
• Behavioral Attributes: Demonstrates attention to detail and consistently monitors work for accuracy. Use critical thinking to draw conclusions and make recommendations. Communicates clearly in writing and verbally, collaborates effectively across teams, manages competing priorities, and maintains accountability for assigned work.

Preferred:

• Acute care revenue cycle experience

• Project management experience

• Healthcare coding analytics

• EPIC Cogito, Reporting Workbench, Slicer Dicer, or applicable Epic reporting

• Dashboard development and data visualization

• Budget, productivity, and quality analysis

• Education: Bachelor’s degree in health information management, Health Informatics, or a related field; or equivalent education and relevant experience.

• Coding credential: RHIA

Additional Information

Northwestern Medicine is an equal opportunity employer (disability, VETS) and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.

Background Check

Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers. If you are offered a position with us, you will be required to complete an authorization and disclosure form that gives Northwestern Medicine permission to run the background check.  Results are evaluated on a case-by-case basis, and we follow all local, state, and federal laws, including the Illinois Health Care Worker Background Check Act.

Artificial Intelligence Disclosure

Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.

Benefits

We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events.

Click on or copy and paste URL to your browser to view detailed benefits information https://jobs.nm.org/benefits

Please refer to the Benefits Eligibility by Employment Classification to determine benefits eligibility for job postings.

If sign-on bonus is included in a job posting eligibility is as followed: Internal employees and rehires who left Northwestern Medicine within 1 year are not eligible for the sign-on bonus. Exception: New graduate internal employees seeking their first licensed clinical position as a Registered Nurse at NM may be eligible.

Headquarters: Remote - United States

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.

We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Why You’ll Love This Role

At Cribl, we're transforming from a flagship-product company into a multi-product powerhouse - and every non-routine business event, whether an acquisition, a product launch, or a go-to-market shift, adds complexity our data, definitions, and reporting weren't built to handle. As the Analytics Business Partner, you're the person who closes that gap - translating a new product or customer into our existing data, systems and reporting: how it connects to what we already have, how value is attributed, how we define and track it going forward. Reporting to the VP of Data & Analytics — part of Cribl's broader Business Operations organization alongside Strategy & Operations and Business Effectiveness — you'll operate horizontally across the business rather than embedding in a single function.

This is a high-impact role for a strategist who thrives on ambiguity and builds order from chaos. If you are eager to contribute to a company poised for generational success, we want to hear from you. 

As An Active Member Of Our Team, You Will…

• Diagnose and Drive the Solution. When a non-routine business event doesn't fit with how we currently track or report on the business, define the solution. Whether a system change, a new process or policy, or a different data model, serve as the Directly Responsible Individual (DRI) for working with the necessary x-functional teams to get it delivered
• M&A Integration. When we acquire a company, own and drive how its products and customers fit into our existing reporting and data models, ensuring we can capture the impact of the acquisition post deal close
• New Product Launch. When we launch a new product, understand how Product defines its success metrics, and make sure our models, definitions, and reporting can track against those metrics post launch
• Keep Execution Moving. When a change spans across the Data and Analytics team (Data Engineering, Analytics, Data Science, Data Governance), sequence who does what first, own the handoffs between them, catch duplication or gaps before they cost the team time, and push the pace when the event demands it
• Stand Up the Business Intelligence Council. Establish and run the forum where cross-functional leaders align on key measures, attributes, and hierarchy definitions, and on prioritization across competing data and analytics efforts — and drive it to actual resolution, rather than let it stall as a standing meeting.
• Know The Business. Maintain a working picture of how GTM, Finance, Product, and other functions operate, knowing who to engage so a project doesn’t start or drift, without the right people engaged. For example, understanding how Product Marketing is positioning a new feature, how it needs to be represented across our applications in partnership with IT, and how Finance will measure its impact, before scoping the data work for it. 
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours

 

If You've Got It - We Want It

• 8+ years in management consulting, in-house strategy, business operations, or business analytics, with a track record of operating in unfamiliar functions and reframing ambiguously-posed questions
• Fluency across GTM, Finance, Product, and other functions - enough to know that 'customer' may mean something different to Sales than it does to Finance, and to reconcile the difference rather than pick a side
• You can join multiple tables, write a CTE, and get the aggregation grain right - enough to answer your own question - though hands-on query and dashboard work won't be your primary responsibility in this role
• Given a reporting issue, you know not to default to a “data-only” answer - you can tell whether the real problem is a system that isn't capturing the right data, a process nobody owns, or a data model that no longer matches the business
• Ability to flex your communication style as needed - equally fluent giving execs the top-line takeaway and working through the nuances with the operational teams to drive a solution 
• First hand experience ensuring a business’s data and reporting keep up following an acquisition or new product launch - designing and driving the solution so the business doesn’t lose visibility into itself
• Bonus: experience inside a post-close M&A integration, a new product introduction, or a go-to-market model change
• Bonus: experience in late-stage B2B SaaS startups (i.e., Series E+) and / or early public B2B SaaS companies (e.g., 3-5k employees)

#LI-JB1
#LI-Remote

The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.

In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.

In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.

Base Salary Range$190,000—$255,000 USD

Bring Your Whole Self

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us. 

To apply: https://weworkremotely.com/remote-jobs/cribl-analytics-business-partner

Location: Remote, New York City, or Oakland

• Travel is encouraged approximately once every 6 months to state partners within the continental USA, and occasionally required. We expect these trips to include visits to prisons and parole offices.

Role Type: Full-time

Compensation:  $120,000

Visa sponsorship: Not available

Hires remotely in: United States

Experience: 5+ years of full-time, professional work experience

Recidiviz is thrilled to be hiring a Senior Policy Data Analyst to join our team! We’re a small, fast-moving group that works with complex criminal justice data from our state partners and develops analyses and tools that target the drivers of incarceration. That’s where you come in. We’re looking for someone who has creativity and inquisitiveness to identify and solve open-ended problems, clarity to think through complex and variable data, flexibility to adjust in a rapidly evolving environment, and above all else, a collaborative, kind nature to add to our culture.

About us

Recidiviz is creating safer, healthier communities by improving outcomes for people in the criminal justice system. We build technology to reduce the number of people in prison and to help criminal justice leaders embrace data-driven decision-making.

Using software tools and thoughtful product design, we’ve been able to safely and permanently reduce incarceration and improve outcomes. We work side-by-side with leaders of the criminal justice system, people in prison and on supervision, and ecosystem partners to build a better path forward. In addition to the revenue we earn from state partners, some of the most respected philanthropists and foundations support our work.

People who succeed at Recidiviz lead with kindness and humility, assume good intent, learn from failure, and fix problems when they see them. They are excited to work arm in arm with government leadership and staff to improve outcomes. They are great listeners. They build deep relationships with and empathy for the people we work with and the people who our mission serves, even when those two groups feel at odds.

About the role

Recidiviz’s policy team works with state DOC leaders who want to rewrite old policies or write new ones, grounded in evidence and analytics, to improve outcomes. We use administrative datasets to generate context-responsive insights that expand momentum for policy change. We answer questions like:

• What earned sentence credit structure creates the strongest reward system given the distribution of sentence lengths and program availability?
• How do the factors that drive parole board decisions align with the factors most quantitatively predictive of post-release outcomes? How would outcomes change if dynamic factors were weighted more heavily?
• How will a new supervision contact standard affect the alignment between supervision officer bandwidth and high-need clients?

By translating policy concepts into concrete modeling, we help states make smarter and more ambitious changes.

Senior Policy Data Analysts are high-autonomy technical contributors. They own an end to end analytic process — breaking project objectives into analytical products, designing the approach, derisking the timeline, producing the findings, and preparing the materials that go in front of decision-makers. The core skill is decision-support: building analysis for a decision rather than for a research finding.

This role is as much about making judgment calls as it is about running analytical work. Most of our projects are first of their kind, which requires designing the approach as you go. Projects change mid-flight as our understanding of system dynamics develops and the needs of stakeholders shift. This role works closely with a Partnerships Lead, who coordinates with state partners to determine project objectives. The Senior Policy Data Analyst sets the analysis strategy to meet those objectives. Success is measured by the impact your interventions drive.

Core responsibilities

• Building analysis from corrections and parole data. You’ll use SQL and Python to wrangle administrative data to articulate how a system behaves. You ramp up on new data quickly, going deep where it changes the answer and making defensible simplifying assumptions where it doesn’t.
• Modeling policy scenarios and quantifying tradeoffs. Apply statistical methods like regressions, time series, stock-and-flow modeling or distributional analysis to project how outcomes change under different policy designs, and assess what the data can and can’t support. A core judgment is developing simple and elegant approaches that cut to the heart of the decision point.
• Communicating findings to the people making the decision. You work backward from what information a stakeholder needs to advance decision-making in the room. You’ll create the decks and memos that go to DOC leadership, find the frameworks that make a complicated tradeoff digestible, and take responsibility for tailoring your work to the audience to motivate action.
• Running your projects end to end. You’ll translate project objectives into an analysis strategy, set project roadmaps, and identify and address unknowns. You’ll adjust course as project objectives change, and rightsize analysis with impact.
• Collaborating across Recidiviz. You’ll collaborate across the organization to obtain state context, understand underlying data infrastructure, and support policy implementation.
• Finding the next opportunity. You’ll go deeper on the states you work in — spotting where additional analysis could unlock a decision, and running the early exploration to assess whether it’s worth pursuing.

Wild success

A year from now:

• You’ve driven impact. Your work has directly shaped several policy reforms across the country.
• You’ve uncovered new opportunities. You spotted a new opportunity in your states that became new work for the team.
• You’ve made your projects more effective. The people around you have less scramble, clearer ownership, and smoother handoffs, making it easier for everyone to focus on driving towards impact.
• You’ve leveled up our analytical team. Approaches you designed, like a modeling pattern or a framework for a recurring question, are now being reused by teammates on other states.

Minimum qualifications

• 5 or more years of practical experience exploring, analyzing, and processing complex datasets
• Professional experience using SQL with large datasets, including high proficiency writing efficient queries for complex extraction and transformation
• Professional experience with Python, particularly pandas, for statistical analysis and data visualization
• Sufficient statistical background to reason about analysis design, examine results closely, and prepare analyses that hold up to scrutiny
• Experience scoping and delivering analytical work — particularly balancing depth and speed when navigating short timelines and shifting priorities
• Experience on teams where ownership is shared across functions, including proactively seeking context you’re missing and flagging risks before they become blockers.

Preferred qualifications

• Experience adapting quantitative methods to introduce intuitively meaningful metrics in ambiguous, unconstrained contexts
• Experience working with large administrative datasets from the public sector, especially related to criminal justice
• Familiarity with our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas

Compensation

Compensation is standardized based on roles and responsibilities. This ensures equitable compensation and responsible stewardship of our resources. As such, we do not negotiate compensation offers.

The compensation for this role is: $120,000.

What we offer

• Effective, extremely thoughtful colleagues, working together on a mission that matters
• 90% medical, dental, and vision insurance coverage for you and your dependents
• Flexible time off, including 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays
• 12 weeks of paid parental leave
• 401(k) retirement plan with 5% company match and no vesting period
• Complimentary One Medical membership (depending on location)
• Partnership with Carrot to provide employees with inclusive fertility and family-forming benefits, as well as a small but growing number of hormonal health and gender-affirming care benefits
• Monthly ClassPass credit for personal wellness
• Free mental health support via Talkspace
• Well-located offices in Oakland and Manhattan, with the flexibility to work remotely or go into either office as you choose
• An annual company offsite each spring and other ad-hoc gatherings
• All the exhilarating challenges and stretch opportunities of a tech startup, combined with the mission-driven heart of a nonprofit

More about Recidiviz

Recidiviz was an all-volunteer effort until early 2019, when Clementine, Andrew, and Joshua founded the organization. Since then, we’ve built an A-team of software engineers, designers, product managers and domain experts, from companies like Google, Apple, Dropbox, Opower, and Sidewalk Labs. Recidiviz was part of Y-Combinator’s 2019 class and has received support from some of the most respected philanthropists and foundations, including Ford Foundation, Mackenzie Scott, Schmidt Futures, Arnold Ventures, Chan Zuckerberg Initiative, and the Mozilla Foundation.

Today, Recidiviz works with (and earns revenue from) over 20 state partners – big and small, red and blue – and covers more than 46% of the US incarcerated population. We have helped to get tens of thousands of people out of the criminal justice system, safely and equitably, and saved states nearly $1 billion. In the next five years, Recidiviz plans to partner with 40 states and help 250,000 people who are stuck in the system to get out and stay out. In addition to partnering with state Departments of Corrections, Recidiviz collaborates with and learns from partners – from organizations like the Correctional Leaders Association (CLA) to community based organizations and justice-impacted individuals, whose perspectives guide our work.

To learn more about how we do what we do, check out our 2025 Year in Review, read some press coverage, or watch our TED Talk.

An important note

Lasting change is always built on diversity. Recidiviz recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, sexual orientation, disability, age, veteran status, ancestry, citizenship, marital status, gender identity and all protected status as required by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a special need that requires accommodation, please let us know in your application. Even if you don’t think you meet all the criteria above, drop your resume, and we’ll take a look – you might be great for another role or another time!

The Company:

At impact.com our culture is our soul. We are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, and Fanatics visit www.impact.com.

Your Role at impact.com:

The Senior Revenue Operations Analyst position is an exciting opportunity to work with a growing GTM organization globally. The position will have exposure to senior management and be a critical contributor to our growth strategy.

What You’ll Do:

Key Responsibilities - Systems, Data & Territory Operations

• Systems & Platform Management: Administer RevOps systems (Clay, ZoomInfo, RingLead), manage user access, document approval workflows, and oversee AI-driven data enrichment and imports
• Territory Planning & Account Distribution: Execute weekly account distributions, manage user profiles and workflow automation, rebalance coverage gaps across regions, and handle new-hire territory assignments for AEs and BDRs
• Data Quality & Governance: Maintain account hierarchy accuracy, resolve data conflicts between systems, conduct audits, set up validation rules, and track data quality KPIs/scorecards

Analytics, Enablement & Cross-Functional Collaboration

• Reporting & Insights: Build dashboards for sales leadership to track territory coverage, AE capacity, account penetration, BDR productivity, and regional sales performance (NAM, UK/EMEA, APJ)
• Sales Support & Enablement: Serve as first-line RevOps support, manage hierarchy/account ownership adjustments, support PLG , and deliver training/documentation for sales teams
• Cross-Functional Alignment: Partner with Sales Leadership, Marketing (ABM alignment), Finance (headcount/productivity planning), and BizApps on system configurations and business reviews

What You Have:

• Experience: 3–5 years in RevOps or Sales Operations across global regions, with a proven track record of owning end-to-end process improvements, territory planning, and multi-system management
• Technical Stack: Advanced Salesforce proficiency, hands-on Clay experience (data enrichment/workflows), account enrichment & deduplication tools (ZoomInfo, RingLead)
• Core Traits: Exceptional attention to detail, strong root-cause analytical skills, clear cross-functional communication, proactive problem-solving, and robust project management abilities

Nice To Have:

• Advanced Clay expertise including API integrations
• Experience with AI-driven data enrichment and Gemini API
• Salesforce Apex, Process Builder, or Flow knowledge
• M&A integration or large-scale data migration experience
• Slack workflow automation or integration experience

Salary Range: $80,000 - $100,000 per year plus additional 5% variable annual bonus contingent on Company performance and eligible to receive Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits (Perks):

• Medical, Dental and Vision insurance
• Unlimited responsible PTO
• Flexible work hours
• Parental Leave
• Technology Stipend
• Office only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled.
• Flexible spending accounts and 401(k)
• An employee-led culture team that plans inclusive events- meaning time together and other events to celebrate our many successes!
• An established company with a cool, high-velocity work ethos, where each person can make a difference!

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI-Hybrid

#LI-NewYork,NewYork_Hybrid

#LI_NewYork_NewYork

#LI-AG1

#LI-Remote

As a Principal Data Analyst, you will lead analysis of hospital quality performance and national rankings and ratings programs for current and prospective health system customers, including CMS Star Ratings, U.S. News & World Report Best Hospitals, Leapfrog, and CMS pay-for-performance programs (HRRP, HAC, VBP). You will apply deep expertise in quality measure methodology, risk adjustment, and Medicare claims data to replicate program methodologies, explain what is driving a customer’s results, and identify the improvement opportunities with the greatest impact on their scores and rankings. You will own the design of dashboards and benchmarking tools, and set standards for methodological rigor and validation across the team. You will serve as a senior analytic voice in pre-sales, sales, and ongoing customer engagements, presenting findings directly to customer quality and executive leadership. You will also mentor analysts and partner with Data Scientists and Process Improvement Consultants to shape how Tendo delivers analytic value.

About Tendo Make an impact—join our team!

We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.

If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Job Location RemoteTendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.

Responsibilities

• Own data sourcing, cleaning, and quality assurance, and set the validation standards the team uses for all analytic outputs.

• Design, build, and maintain reporting, dashboard, and benchmarking tools, and set visualization standards for customer-facing work.

• Present findings and recommendations to customer and internal leadership, supporting pre-sales, sales, renewals, and ongoing customer engagement.

• Partner with Data Scientists and Process Improvement Consultants on methodology, project scoping, and delivery.

• Mentor analysts, review their work for accuracy and quality, and help build repeatable analytic processes for the team.

Requirements

Education (one of the following):

• Bachelor’s degree in Computer Science, Engineering, Statistics, or Health Sciences

• Master’s degree in Public Health, Epidemiology, Statistics, or a related quantitative field

• Equivalent work experience with a portfolio of relevant analytic projects

Experience:

• 7+ years of experience in healthcare data analytics, with a focus on hospital quality measurement, clinical outcomes, or performance improvement

• Hands-on experience with one or more national quality rankings or ratings programs, such as CMS Star Ratings, USNWR Best Hospitals, Leapfrog, Vizient Quality & Accountability, or CMS value-based programs (HRRP, HAC, VBP)

• Experience working with Medicare claims (MedPAR, Standard Analytic Files) and CMS public reporting data (e.g., Care Compare, Provider Data Catalog)

• Demonstrated experience leading analytic projects end to end, from scoping through delivery

• Experience presenting findings and recommendations to senior leadership or customer executives

Core Competencies:

• Advanced SQL and proficiency in Python or R for data analysis

• Expertise in business intelligence and data visualization tools, with the ability to set dashboard and reporting standards

• Strong command of statistical methods, benchmarking, and performance measurement

• Ability to translate ambiguous business and customer questions into clear analytic plans

• Ability to communicate complex findings clearly to executive and non-technical audiences

• Experience mentoring analysts and reviewing their work for quality and accuracy

Nice to Have

• Experience in a customer-facing, consulting, or pre-sales analytics role

• Six Sigma or Lean certification

• Experience with Tableau, Looker Studio, Plotly/Dash, or similar visualization platforms

• Experience with cloud data platforms (AWS, GCP, or Azure)

• Familiarity with Jupyter Notebook and collaborative analytics workflows

• Advanced proficiency in Excel/Google Sheets and PowerPoint/Google Slides

• Experience with Smartsheet or similar project management tools

  • Tableau/Google Data Studio/Plotly/Dash.

  • Pycharm, VSCode, Sublime Text, Atom, etc.

  • AWS/GCP/Azure, etc.

Base Salary Range $110,500 - $149,500

This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.

Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program  (“Breathe”).

Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

#LI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Headquarters: Remote

About Carrot:

Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide.

Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at get-carrot.com.

The Opportunity

Carrot is seeking a Business Intelligence Analyst to join our BI function as it scales to meet, and anticipate, the needs of the organization and its clients. This is an executional role providing essential analytics support across the company: you will gather requirements, field ad hoc and recurring data requests, and build the reporting dashboards that leaders across Carrot rely on to make decisions.

You will work hands-on with modern data tooling, including SQL, dbt, and enterprise BI platforms, and partner with teams across the business to translate their questions into clear, trustworthy answers. The BI team is highly cross-functional and sits alongside Data Engineering, making this a strong opportunity to sharpen technical skills while building broad business context in a mission-driven environment.

 

What You’ll Own

In this role, you will:

• Design and build data models in SQL with a focus on correctness, clarity, and reusability
• Build and maintain dashboards and reports that track key business metrics and inform decision-making across the company
• Conduct ad hoc analyses to answer high-priority business questions from stakeholders across the organization
• Collaborate with teams across Carrot to understand their data domains, reporting needs, and success metrics
• Contribute to data quality, documentation, and self-service BI capabilities as the function scales

 

What Success Looks Like  

In your first 12–18 months, you will have:

• Delivered accurate, well-documented dashboards and reports that stakeholders across the company trust and use regularly
• Fully ramped on Carrot's data stack and core data domains, independently owning recurring and ad hoc reporting requests
• Built strong working relationships with cross-functional partners and established yourself as a reliable analytics resource
• Improved turnaround and consistency of reporting by creating reusable data models and reducing manual work

 

About You 

You likely have:

• A Bachelor's Degree
• Intermediate-to-advanced SQL experience: ability to write advanced queries using joins, common table expressions, and window/analytic functions
• Experience with data visualization software (e.g., Tableau, Looker, DOMO, or Power BI) to bring data insights to life for broad audiences
• Basic statistics proficiency: experiment design, hypothesis testing, statistical significance, probability, and distributions
• Ability to translate business intelligence needs from a variety of stakeholders into technical execution and clear presentation
• Strong communication skills, with the ability to explain complex technical information to non-technical audiences

 

Nice to Have ⭐

While not required, we would be especially excited if you bring:

• Experience using dbt to transform, test, and document data
• Experience working with healthcare industry data or in other complex, regulated data environments
• Experience in a high-growth environment
• Familiarity with version control systems (Git preferred)
• Understanding of effective data modeling strategies and implementations

 

Why This Role Matters

Data is central to how Carrot operates and grows. Leaders across the company depend on accurate, timely reporting to serve members, support customers, and make sound business decisions. As a Business Intelligence Analyst, you will be the connective tissue between raw data and those decisions, ensuring the organization runs on insights it can trust.

Your work directly supports Carrot's mission of expanding access to fertility and family-building care worldwide. Better data means better decisions for the members and customers who rely on Carrot every day.

 

Interview Process 

We believe in a thoughtful and transparent interview process designed to create alignment for both candidates and our team.

For this role, candidates can expect:

1. Recruiter Screen — 30 minutes
2. Hiring Manager Interview — 45 minutes
3. Cross-Functional Panel Interviews — 45 minutes
4. Performance Task — 60 minutes

Throughout the process, we will share additional context about the team, business priorities, customer landscape, and what success looks like in this role.

 

Why Candidates Join Carrot

Carrot offers the opportunity to do meaningful work in service of a deeply human mission.

Highlights include:

• A mission-driven company focused on expanding access to fertility and family-forming care globally.
• A high-growth environment where leaders are empowered to shape strategy and drive impact.
• Competitive compensation, equity, and comprehensive benefits.
• Flexible Time Off and a culture that actively encourages employees to recharge.
• Comprehensive parental leave and family-forming benefits.
• A collaborative, inclusive, and values-driven culture.
• The opportunity to work alongside passionate, thoughtful teammates committed to improving healthcare outcomes worldwide.

 

Compensation

Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $98,000.00- $125,000.00. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience. 

 

Fraud and Security Notice: Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com

 

A Note on AI

At Carrot, we believe AI can help us work smarter, move faster, and create more meaningful experiences for our members, customers, and each other. While not every role requires deep technical AI expertise, we value people who are curious, eager to learn, and excited to thoughtfully incorporate AI into their day-to-day work.

For some roles, AI fluency is a core requirement—and we'll call that out clearly in the qualifications. For everyone else, we're looking for people who embrace new ways of working, use AI responsibly to improve quality and efficiency, and continue to learn as the technology evolves.

Why Carrot?

Carrot has received national and international recognition for its pioneering work, including Fast Company's Most Innovative Companies and World Changing Ideas, Inc. Power Partners, and Modern Healthcare’s Innovators. Carrot’s global workforce has been acknowledged with several accolades, including Fortune’s Best Workplaces in Healthcare, Great Place to Work, and Age-Friendly Employer certifications. Carrot is regularly featured in media reporting on issues related to the future of work, women in leadership, and healthcare innovation, including MSNBC, The Economist, Bloomberg, The Wall Street Journal, CNBC, National Public Radio, Harvard Business Review, and more. Learn more at carrotfertility.com. 

 

To apply: https://weworkremotely.com/remote-jobs/carrot-business-intelligence-analyst

Location: Remote within the United States or Canada About Doximity Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted...

**This is a contract role expected to last until April 15th, 2027 Location: This role is Remote in the U.S., with the option to work onsite from our San Francisco,...

**This is a contract role expected to last until April 15th, 2027 Location: This role is Remote in the U.S., with the option to work onsite from our San Francisco,...

Headquarters: Remote - USA

Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we grow our data ecosystem, expanding across legacy interoperability networks, QHIN/TEFCA connectivity, and direct HIE integrations, we need rigorous analytical ownership to ensure the clinical data powering our platform is complete, reliable, and actionable.

You will serve as the Subject Matter Expert (SME) for clinical data completeness and effectiveness at Counterpart Health. Sitting within the Data Products pillar, this role owns the end-to-end understanding of our clinical data lifecycle: where data comes from, where it breaks down, and how each vendor or integration pathway performs across our customer markets. Your analysis will directly shape vendor strategy, facility targeting, and data pipeline investments, thus ensuring that the clinical evidence our care teams depend on is consistently available and trustworthy.

As a Data Analyst, you will:

• Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps.
• Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency,
• Experience with TEFCA/QHIN frameworks and evolving national interoperability standards.
• Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2).
• Background in value-based care, population health, or clinical data operations.
• Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records).
• Comfort working with Python or similar tools for data manipulation and automation.
• or incongruence in clinical records.
• Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system).
• Based on rigorous analysis of data flow and quality, recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX).
• Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit.
• Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters.
• Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility.
• Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange.
• Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility.
• Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets.

You should get in touch if you have:

• 5+ years of hands-on data analytics experience, with direct exposure to healthcare data interoperability
• Strong hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages.
• Proficiency in SQL and comfort working with large, complex datasets (claims, clinical logs, interoperability data).
• Background in analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange) or HIE integrations.
• Skilled at data visualization and able to present complex findings to both technical and non-technical stakeholders.
• Strong investigative mindset, i.e., you enjoy digging into the “why” behind missing data and diverging metrics.
• Self-directed and able to manage multiple analytical projects (vendor comparisons, visit-level reconciliation) without constant supervision.

Preferred Qualifications:

• Experience with TEFCA/QHIN frameworks and evolving national interoperability standards.
• Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2).
• Background in value-based care, population health, or clinical data operations.
• Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records).
• Comfort working with Python or similar tools for data manipulation and automation.

Benefits Overview:

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

To apply: https://weworkremotely.com/remote-jobs/clover-health-data-analyst-clinical-data-effectiveness

About Niche

Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply.

Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally.

About The Role

**We are currently recruiting for this role in Argentina and Brazil only.  We will not be considering US based candidates at this time.  All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.**

**Only applications/resumes written in English will be accepted.**

Niche’s product teams make dozens of decisions each quarter about what to build. We are looking for an analytically rigorous, product-minded Senior Product Analyst to help Niche decide what to build and know whether it worked. This is a senior individual contributor role on the Analytics team, embedded with our product teams and reporting to the Director of Product Analytics.

You will own how we measure key product areas across our family-facing and school-facing experiences, such as rankings, scholarships, registration, and new products. You will be a strategic partner to product leadership, not a request queue. That means shaping questions before work starts, running the experiments that answer them, and staying with the work through the decision.

Our analytics team works Claude-first: you will use Claude and Claude Code every day and help shape how the team and its partners use them.

What You Will Do

Product Strategy & Insight

• Embed with product teams as their analytics partner. Join planning and roadmap conversations and help identify and size opportunities before work is prioritized
• Define the metrics that matter for each product area and keep definitions consistent across dashboards and the semantic layer
• Own the measurement of product funnels, feature adoption, engagement, and retention for both families and school partners
• Run deep-dive analyses on user behavior and segments, and pair every finding with a recommendation and a clear next step
• Identify where users struggle or drop off and bring those opportunities to product managers proactively. Partner with Design and UX Research to pair behavioral data with qualitative insight

Experimentation

• Own A/B tests with product teams end to end: design and sizing based on product requirements, guardrails and duration, tracking setup in GTM and GA4, and interpreting results with honest calls on signal versus noise
• Contribute to experimentation standards and apply them across your teams so tests are tied to business outcomes, not just clicks
• Measure launches that can’t be randomized, using appropriate causal methods and clear statements of confidence

Measurement Partnership

• Write clear measurement requirements and GA4 event specs for new features before launch, build and test the GTM tags, and partner with Data Engineering on server-side and pipeline needs
• QA product data after launch, review GTM changes from partner teams, account for consent and tracking gaps, and flag quality issues early
• Build and maintain the dashboards and self-serve views (Streamlit) that let product managers answer their own recurring questions.
• Contribute to dbt models and the self-serve semantic layer with Data Engineering
• Support new data systems and tracking changes, such as consent management, with reporting requirements, GA4 reconciliation, and launch measurement

Claude-Powered Analytics

• Use Claude and Claude Code as core daily tools: writing and reviewing SQL, exploring data, drafting readouts, and building Streamlit apps
• Build and maintain the semantic layer, Claude skills, and context (metric definitions, table guides, experiment standards) that make Claude reliable on Niche’s data
• Automate recurring work, such as test readouts, KPI monitoring, and launch reviews, with Claude-driven workflows
• Keep pace with AI-assisted product development by using Claude to spot launches that need measurement
• Help product managers self-serve with Claude: maintain the skills and sanctioned definitions they rely on, coach them on reading data, and review findings before they drive decisions
• Help analysts and product partners adopt Claude, and help define the team’s standards for validating its output

Analytical Rigor & Influence

• Model rigor in product data: reproducible SQL, documented methods, validated results, and a clear line between correlation and causation
• Hold AI-assisted work to the same bar as your own: check the queries, numbers, and logic before anything ships
• Mentor analysts informally, and review and pressure-test analyses from the team and from product partners, including AI-assisted work
• Present findings to product and company leadership with a clear “so what”

During the First Month:

• Meet stakeholders across Product, Analytics, and Data Engineering to learn team goals, roadmaps, and workflows
• Get set up with Claude, Claude Code, and the team’s existing skills. Learn our stack (Snowflake, dbt, Streamlit, GA4 data) and how product events are defined and captured
• Review existing product dashboards and reports to build a baseline view of core product KPIs

Within 3 Months:

• Act as analytics partner to your assigned product teams, including defining metrics and reading out launches and tests
• Write measurement requirements for upcoming launches with Data Engineering
• Learn the boundaries and collaborations between Product Analytics and Data Engineering so ownership of shared data is clear

Within 6 Months:

• Apply and help evolve experimentation standards across your teams
• Become the go-to expert on product behavior data, presenting findings and recommendations to cross-functional teams
• Ship at least one self-directed deep dive that influences a product decision, and build or improve one Claude skill or workflow the team reuses

Within 12 Months:

• Use deep product and user knowledge to inform roadmap prioritization
• Build a scalable measurement framework for your product areas that helps teams make data-informed decisions on their own
• Contribute to the Analytics roadmap with new methods, tools, or process improvements

What We Are Looking For

Experience

• 5+ years in product analytics, data analytics, or a closely related data role
• Demonstrated experience designing and analyzing A/B tests and owning product measurement end to end
• Hands-on experience analyzing web or app behavioral data (GA4, GTM, PostHog, Amplitude, Mixpanel, or similar), including its limitations
• Hands-on experience using Claude, Claude Code, or similar AI tools in analytics work, with examples of workflows you built or automated
• Track record of influencing product decisions and roadmaps with data
• Proven ability to turn complex findings into clear recommendations for non-technical partners, and to say plainly when the data won’t support the question
• Experience in a fast-paced, cross-functional environment with shifting priorities

Skills

• Senior SQL proficiency; comfortable writing, reviewing, and debugging complex queries independently
• Strong grounding in statistics and experimentation, with Python or R for analysis
• Experience with Snowflake, dbt, and version-controlled analytics work
• Strong dashboarding skills in Streamlit, Looker, or similar
• Fluency with Claude or similar AI tools: prompting well, giving models the right context, and checking every query and number they produce
• Comfort operating as a senior IC: influencing without authority and working self-directed on ambiguous problems

Education

• Bachelor’s degree in Statistics, Data Science, Economics, Computer Science, or a related quantitative field, or equivalent practical experience. A Master’s degree is a plus

Nice to Have

• Experience building Claude skills, MCP connectors, or agent workflows for a team
• Understanding of K-12 or college admissions processes
• Experience with causal inference methods beyond A/B tests
• Experience contributing to a semantic layer or self-serve metrics layer
• Background in marketplace, consumer internet, SaaS, or education technology

Interview Process

Candidate experience is a top priority for our talent and hiring teams.  We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience.  The interview process is outlined here:

• Video Interview with Talent Acquisition Partner - 30 Minutes

• Video Interview with Hiring Manager - 30 Minutes

• Team Interview - 3 separate 30 Minutes Interviews

• Case Study & Presentation w/ Analytics Team

• Hiring Manager Follow-up if successful- 30 Minutes

**We are currently recruiting for this role in Argentina and Brazil only.  We will not be considering US based candidates at this time.  All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.**

**Only applications/resumes written in English will be accepted.**

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Data Analyst, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who’s constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Own product analytics across mobile apps and web/browser products: activation, feature adoption, onboarding drop-off, engagement and retention

• Act as the primary analytics partner for product owners, shaping roadmap priorities with data

• Build analytical frameworks to help product teams make data-informed decisions on new and existing features

• Turn ambiguous product questions into concrete analyses and clear recommendations

• Partner with product managers on event tracking plans and instrumentation QA

• Own A/B tests and feature experiments end to end: hypothesis, power analysis, readout and ship decision

• Use AI tools to automate recurring reporting and speed up insight generation

• Build self-serve reporting for product owners

• Find anomalies and data integrity gaps, and fix or escalate them

• Present findings to non-technical audiences in clear, concise narratives

• Proactively surface trends and opportunities

• Mentor other analysts and share best practices across the team

Requirements:

• 5+ years of experience in product analytics, data analytics or a related role with consumer mobile apps or web products

• Advanced SQL: window functions, CTEs, complex joins and query optimization on large datasets

• Hands-on experimentation experience, including A/B test design, power analysis and statistical testing

• Strong product analytics fundamentals: funnel and cohort analysis, event data and instrumentation

• Daily use of AI tools in your analytics workflow, such as Claude, Claude Cowork or Claude Code

• Working knowledge of Python for analysis

• Comfortable with ambiguity and shifting priorities; you take ownership from question through recommendation

• Strong written and verbal communication skills

• Fluent English and at least 4 hours of overlap with US Eastern business hours (remote roles)

It’s a plus:

• Experience with ad-monetized or subscription consumer apps

• Familiarity with dbt or modern data modeling practices

• Experience with Android apps, browsers or browser extensions

• Experience with cloud data warehouses on AWS or Google Cloud

• Experience with Amazon Quick or other AI-powered BI tools

• Experience building AI-powered or agent-driven reporting workflows

Compensation:

• The salary range offered for this position varies from (USD) $4,000 - $5,500 per month, depending on seniority and skillset.

• This position is for a full time contract, through a payroll platform.

• The talent will work remotely allocated at our client.

Here are the steps for this process:

TBD > Application review/approval > Screening interview with GoFasti’s team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.

Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Note for Candidates Approached Directly:

If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

Thank you!

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Data Scientist, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who’s constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Develop, deploy and maintain predictive models for lifetime value (LTV), churn and retention across mobile apps and web/browser products

• Own the modeling roadmap for your area, from problem framing through production and ongoing monitoring

• Build cohort and LTV models that inform user acquisition budgets and payback decisions

• Build user segmentation and propensity models that support personalization and targeting

• Improve model accuracy over time through validation, backtesting and new data sources

• Design experiments and causal analyses that measure the true impact of product and marketing changes

• Identify early behavioral signals that predict conversion, churn and long-term value

• Apply LLMs and machine learning to classify unstructured text and behavioral signals into interest categories and product and brand intent

• Partner with data engineering to productionize models and keep their inputs reliable

• Build internal AI-powered analytics tools and data products

• Explain model results, assumptions and confidence levels clearly to stakeholders and leadership

• Set modeling standards, documentation and best practices for the team

• Mentor other analysts and data scientists and share best practices across the team

Requirements:

• 5+ years of experience in data science, statistical modeling or machine learning, ideally with consumer app or web data

• Strong Python (pandas, scikit-learn or similar) and advanced SQL

• Experience deploying models to production and monitoring them over time

• Solid grounding in statistics, forecasting and experimentation

• Hands-on experience with LLM APIs, prompt design or building AI-powered data tools

• Daily use of AI tools as a development partner, such as Claude, Claude Code or Claude Cowork

• Sound judgment with incomplete or noisy data; you structure the problem before reaching for a tool

• Strong communication skills, including turning complex analysis into clear business recommendations

• Fluent English and at least 4 hours of overlap with US Eastern business hours (remote roles)

It’s a plus:

• Experience with ad-monetized or subscription consumer apps

• Experience with recommendation systems, personalization or audience segmentation for ad targeting

• Experience with ML platforms on AWS or Google Cloud, such as SageMaker or Vertex AI

• Familiarity with MLOps and orchestration tools such as MLflow, Airflow or dbt

• Familiarity with Bayesian methods, uplift modeling or multi-armed bandits

Compensation:

• The salary range offered for this position varies from (USD) $4,000 - $5,500 per month, depending on seniority and skillset.

• This position is for a full time contract, through a payroll platform.

• The talent will work remotely allocated at our client.

Here are the steps for this process:

TBD > Application review/approval > Screening interview with GoFasti’s team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.

Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Note for Candidates Approached Directly:

If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

Thank you!

Job Title: Data Scientist - Measurement

Location: Remote - US Only

About InMarket

Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands. Through InMarket’s data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket’s proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.

*Source: Wordstream US Google Display Benchmarks for Mobile Media

About the Role

AI Engineering is a core driver of InMarket’s product design and innovation. As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.

Your role is to conceptualize, develop and deploy the core machine learning and AI solutions that power our industry-leading advertising measurement products. These solutions will be intelligent, adaptive, operate at scale, and be based on modern causal inference, marketing statistical methods and AI. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI. We’re an AI-forward organization, and agentic development is core to how we work - AI Engineering is constantly experimenting with AI tools to move from idea to production faster than ever.

Your daily Impact as Data Scientist

• Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
• Take ownership of core advertising measurement products to expand our capabilities and push our performance boundaries
• Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
• Collaborate closely with our engineering and product teams to expand our causal inference and attribution based measurement platform

Your Experience & Expertise

• Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
• Solid understanding of modern data science, AI and machine learning
• At least 3 years of experience with applying modern statistical marketing models, Bayesian statistics, and causal inference to solve complex, data-driven problems
• Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
• Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds
• Experience using Claude Code, Codex or similar
• Experience with agentic development

Nice to Haves

• Experience building and supporting Media Mix Modeling (MMM)
• Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus - particularly, GCP.
• Experience with BigQuery
• Familiarity with the digital media / advertising industry is a big plus.
• Experience with Spark

Compensation & Benefits Summary

• Competitive salary, stock options, flexible vacation
• Medical, dental and Flexible Spending Account (FSA)
• Company Matched 401(k)
• Unlimited PTO (Within reason)
• Talented co-workers and management
• Agile Development Program (For continued learning/professional development)
• Paid Paternity & Maternity Leave

For candidates in California, Colorado, New York City, Illinois, Minnesota, New Jersey, Vermont, and Massachusetts, the Targeted Base Salary Range for this role is $135,000 - $155,000

Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!

At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs.

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

Privacy Notice for California Job Applicants: https://inmarket.com/ca-notice-for-job-applicants/

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