Description
Compensation
$160K – $190K • Offers Equity
Outlined above is a reasonable estimate of H&H’s compensation range for this role for US-based candidates. If you're based outside of the US, your recruiter will be able to provide you with an estimated salary range for your location.
The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.
Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.
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.
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