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Staff Analyst, AI Product

Hims & Hers· ANALYTICS & DATA SCIENCE
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Remote$160k - $190k + equityFull-timePosted 1mo ago

About the role

Staff analytics partner for Hims & Hers AI products, measuring performance, quantifying impact, and shaping experimentation and measurement strategy for AI-driven experiences across cross-functional teams.

Responsibilities

  • 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
  • Partner with ML/Applied AI teams to evaluate model performance in production and translate model-level signals 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
  • Design intuitive Looker dashboards that democratize AI product metrics
  • Conduct deep-dive analyses — including user/session segmentation — to answer strategic questions about AI product performance and opportunities
  • Champion data quality, documentation, and deliverable consistency across dbt models and BigQuery tables, while mentoring junior analysts

Qualifications

  • 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
  • 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
  • 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

Skills

Required:Experiment designCausal inferenceSQLPython/RLooker/Tableau

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
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Hims & Hers

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