Job description

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about hims.com and hims.com/how-it-works hims.com . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals hims.com. ABOUT THE ROLE: As a Staff Analyst, AI, you will serve as a strategic analytics partner to the teams building and operating Hims & Hers' AI products (e.g., patient-facing AI chat assistants, internal AI tools for care teams). You will work cross-functionally with engineers, product managers, clinical operations, and finance to measure product performance, quantify commercial and clinical impact, and shape the experimentation and measurement strategy for AI-driven experiences. This position will report to the Manager of AI Analytics. YOU WILL: - Provide thought leadership and strategic partnership to AI Product stakeholders, influencing roadmap and investment decisions with data-driven insight into AI product performance - Own experimentation strategy for AI product launches and iterations (e.g., GrowthBook-based tests), including test design, success metrics, sample-size estimation, guardrails, and results interpretation - Apply causal inference and quasi-experimental methods — including fixed-effects models, difference-in-differences, and propensity score matching — to assess AI impact on retention and clinical/operational outcomes when randomized tests aren't feasible - Define, validate, and own metrics frameworks and measurement plans for new and evolving AI product use cases — from pre-launch instrumentation through post-launch readouts — translating ambiguous business questions into rigorous, well-instrumented metrics within a complex, multi-source data environment - Partner with ML/Applied AI teams to evaluate model performance in production and translate model-level signals (confidence, escalation type, resolution outcome) into product and business metrics - Own commercial impact analysis for AI products — cost savings, handle-time efficiency, and support deflection — and quantify retention/churn addressability to size the impact of AI initiatives - Work cross-functionally with AI/ML Engineering, Analytics Engineering, and Data Engineering teams to define tracking requirements and ensure data integrity across AI product pipelines and event schemas - Use Python or R alongside SQL to develop scalable analytical solutions (e.g., observational studies, survival/retention modeling) that go beyond what dashboards alone can answer - Design intuitive Looker dashboards that democratize AI product metrics and elevate self-service across Product and Care Operations teams - Conduct deep-dive analyses — including user/session segmentation — to answer strategic questions about AI product performance, identify where AI products are (and aren't) working, quantify opportunity areas, and recommend clear actions - Champion data quality, documentation, and deliverable consistency across dbt models and BigQuery tables that power AI metrics, while mentoring junior analysts YOU HAVE: - 8+ years of experience in analytics, data science, or a related quantitative field - Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field - 5+ years of experience designing, executing, and analyzing A/B tests, ideally including tests on AI/ML-driven product experiences - Experience partnering with ML teams to evaluate model outputs and translate them into product/business metrics (e.g., classification accuracy, confidence scores, resolution quality) - Extensive experience working with data engineering and analytics engineering teams, including dbt-modeled production pipelines - Strong knowledge of experimental design and statistical inference; experience applying causal inference techniques beyond standard A/B testing, such as quasi-experimental methods or observational study design (e.g., fixed-effects regression, survival analysis) - Experience with subscription-based business models and metrics, including cohort analysis, retention/churn analysis, and addressability sizing - Expert SQL skills (BigQuery preferred) and advanced experience with Looker or Tableau - Ability to explain technical analyses clearly to non-technical audiences, including senior leadership - Experience shaping and influencing product strategy, not just executing analyses - A proactive, ownership-driven mindset with strong organizational and prioritization skills PREFERRED QUALIFICATIONS: - Experience evaluating conversational AI or LLM-based products (intent classification, containment/escalation, hallucination or quality monitoring) - Familiarity with telehealth concepts or subscription-based healthcare models, including clinical safety considerations in AI-assisted workflows - Experience with GrowthBook or a comparable experimentation platform - Experience with survival analysis or time-to-event modeling (e.g., lifelines, pyfixest, statsmodels) - dbt, Airflow, and Databricks experience Our Benefits (there are more but here are some highlights): - Competitive salary & equity compensation for full-time roles - Unlimited PTO, company holidays, and quarterly mental health days - Comprehensive health benefits including medical, dental & vision, and parental leave - Employee Stock Purchase Program (ESPP) - 401k benefits with employer matching contribution - Offsite team retreats We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement hims.com.

Requirements

Must-haves

Provide thought leadership and strategic partnership to AI Product stakeholders, influencing roadmap and investment decisions with data-driven insight into AI product performance
Own experimentation strategy for AI product launches and iterations (e.g., GrowthBook-based tests), including test design, success metrics, sample-size estimation, guardrails, and results interpretation
Partner with ML/Applied AI teams to evaluate model performance in production and translate model-level signals (confidence, escalation type, resolution outcome) into product and business metrics
Own commercial impact analysis for AI products — cost savings, handle-time efficiency, and support deflection — and quantify retention/churn addressability to size the impact of AI initiatives
Work cross-functionally with AI/ML Engineering, Analytics Engineering, and Data Engineering teams to define tracking requirements and ensure data integrity across AI product pipelines and event schemas
Use Python or R alongside SQL to develop scalable analytical solutions (e.g., observational studies, survival/retention modeling) that go beyond what dashboards alone can answer
Design intuitive Looker dashboards that democratize AI product metrics and elevate self-service across Product and Care Operations teams
Champion data quality, documentation, and deliverable consistency across dbt models and BigQuery tables that power AI metrics, while mentoring junior analysts
8+ years of experience in analytics, data science, or a related quantitative field
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field
5+ years of experience designing, executing, and analyzing A/B tests, ideally including tests on AI/ML-driven product experiences
Experience partnering with ML teams to evaluate model outputs and translate them into product/business metrics (e.g., classification accuracy, confidence scores, resolution quality)
Extensive experience working with data engineering and analytics engineering teams, including dbt-modeled production pipelines

Nice-to-haves

Expert SQL skills (BigQuery preferred) and advanced experience with Looker or Tableau
Experience evaluating conversational AI or LLM-based products (intent classification, containment/escalation, hallucination or quality monitoring)
Familiarity with telehealth concepts or subscription-based healthcare models, including clinical safety considerations in AI-assisted workflows
Experience with GrowthBook or a comparable experimentation platform
Experience with survival analysis or time-to-event modeling (e.g., lifelines, pyfixest, statsmodels)
dbt, Airflow, and Databricks experience
Our Benefits (there are more but here are some highlights):
Competitive salary & equity compensation for full-time roles
Employee Stock Purchase Program (ESPP)
Offsite team retreats
To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement https://www.hims.com/global-candidate-privacy-statement.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonsqlgollm

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Parental Leave

Wellness