Sr Analyst, AI Analytics

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health.

As a Sr Analyst, AI Analytics, you will serve as a trusted analytics partner to the teams building and operating Hims & Hers' AI products.

You will work cross-functionally with engineers, product managers, clinical operations, and finance to measure product performance, quantify commercial and clinical impact, and design rigorous experiments and measurement plans for AI-driven experiences.

Responsibilities:

• Measure and Recommend: Deliver data-driven insight on AI product performance, with clear recommendations that inform Product roadmap and investment decisions
• Run Experiments: Design and analyze tests for AI product launches and iterations
• Apply Causal Methods: Use quasi-experimental methods to assess AI impact on retention and clinical/operational outcomes
• Build Measurement Plans: Define and validate metrics and measurement plans for new AI product use cases
• Connect Model to Business: Partner with ML/Applied AI teams to evaluate model performance in production
• Quantify Commercial Impact: Analyze cost savings, handle-time efficiency, and support deflection for AI products
• Ensure Data Integrity: Work cross-functionally with AI/ML Engineering, Analytics Engineering, and Data Engineering teams to define tracking requirements
• Go Beyond Dashboards: Use Python or R alongside SQL to develop analytical solutions
• Enable Self-Service: Design intuitive Looker dashboards that make AI product metrics accessible to Product and Care Operations teams
• Analyze Performance: Run deep-dive analyses to answer questions about AI product performance

Requirements:

• 5+ years of experience in analytics, data science, or a related quantitative field
• Education: Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field
• Experimentation: 3+ years of experience designing, executing, and analyzing A/B tests
• Data Partnership: Experience working with data engineering and analytics engineering teams
• Statistics: Solid grounding in experimental design and statistical inference
• Subscription Metrics: Experience with subscription-based business models and metrics
• Technical Proficiency: Strong SQL skills, working knowledge of Python or R, and advanced experience with Looker or Tableau
• Communication: Ability to explain technical analyses clearly to non-technical audiences
• Influence: Experience turning analysis into recommendations that change product decisions
• Ownership: A proactive, ownership-driven mindset with strong organizational and prioritization skills

Preferred Experience:

• Experience evaluating conversational AI or LLM-based products
• Familiarity with telehealth concepts or subscription-based healthcare models
• Experience with GrowthBook or a comparable experimentation platform
• Experience with survival analysis or time-to-event modeling
• 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