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Staff Analyst, AI
Hims & Hers
Remote, USA
Full-time
Senior · 8+ years experience
Remote
USD 155000-190000 yearly / year
Discovered 1 weeks ago
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Role Overview
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.
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Full Job Posting
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
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