Sr Analyst, AI Analytics

Hims & Hers is a public health and wellness platform (NYSE: HIMS) focused on affordable, accessible, and personal care. As a Sr Analyst, AI Analytics, you will serve as a trusted 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), working cross-functionally to measure product performance, quantify commercial and clinical impact, and design experiments and measurement plans. You will operate with high autonomy and report to the Sr Manager of AI Analytics.

Responsibilities

Deliver data-driven insight on AI product performance, with clear recommendations that inform Product roadmap and investment decisions; Design and analyze tests for AI product launches and iterations (e.g., GrowthBook-based tests), including success metrics, sample-size estimation, guardrails, and results interpretation; Use quasi-experimental methods, including difference-in-differences, fixed-effects models, and propensity score matching, to assess AI impact on retention and clinical/operational outcomes when randomized tests aren't feasible; Define and validate metrics and measurement plans for new AI product use cases, from pre-launch instrumentation through post-launch readouts; Partner with ML/Applied AI teams to evaluate model performance in production and translate model-level signals into product and business metrics; Analyze cost savings, handle-time efficiency, and support deflection for AI products, and size retention and churn addressability for 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 analytical solutions (e.g., observational studies, survival/retention modeling); Design Looker dashboards that make AI product metrics accessible to Product and Care Operations teams; Run deep-dive analyses, including user and session segmentation, to identify where AI products are (and aren't) working and recommend clear actions

Requirements

5+ 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; 3+ years of experience designing, executing, and analyzing A/B tests, ideally including tests on AI/ML-driven product experiences; Experience working with data engineering and analytics engineering teams, including dbt-modeled production pipelines; Solid grounding in experimental design and statistical inference, with exposure to 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; Strong SQL skills (BigQuery preferred), working knowledge of Python or R, and advanced experience with Looker or Tableau; Ability to explain technical analyses clearly to non-technical audiences, including senior leadership; Experience turning analysis into recommendations that change product decisions; A proactive, ownership-driven mindset with strong organizational and prioritization skills and comfort with ambiguity

Nice to have

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

Benefits

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