Staff Analyst, AI

hims & hers

Staff AI Analyst measuring AI product performance and impact for Hims & Hers, a personalized health and wellness platform. Driving experimentation, causal analysis, and metrics strategy.

Posted 9/3/2026full-timeRemote • 🇺🇸 United StatesLead💰 $155,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics and data science, with a strong focus on AI product performance evaluation, experimental design, and causal inference methods. Proficient in SQL and data visualization tools, with the ability to translate complex data insights into actionable business strategies.

Highest-signal resume keywords

8+ Years Experience In AnalyticsExpert SQL SkillsA/B Testing Design And AnalysisCausal Inference TechniquesExperience With Looker Or Tableau

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisExperimental DesignCausal InferenceStatistical InferenceCohort AnalysisRetention/Churn AnalysisA/B TestingData EngineeringAnalytics EngineeringMachine Learning Evaluation

Soft Skills

Proactive MindsetOrganizational SkillsPrioritization SkillsClear Communication

Tools & Technologies

SQLBigQueryLookerTableauDbtAirflowDatabricksPythonR

Industry Keywords

AI ProductsTelehealth ConceptsSubscription-Based Business ModelsClinical Safety ConsiderationsConversational AI

Tech Stack

Tools & technologies

AirflowBigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Serve as a strategic analytics partner to teams building and operating Hims & Hers AI products, including patient-facing AI chat assistants and internal AI tools for care teams
Provide thought leadership and strategic partnership to AI Product stakeholders
Influence roadmap and investment decisions using data-driven insights into AI product performance
Own experimentation strategy for AI product launches and iterations, including test design, success metrics, sample-size estimation, guardrails, and results interpretation
Apply causal inference and quasi-experimental methods to assess AI impact on retention and clinical/operational outcomes
Define, validate, and own metrics frameworks and measurement plans for new and evolving AI product use cases
Establish pre-launch instrumentation and post-launch readouts in a complex, multi-source data environment
Partner with ML/Applied AI teams to evaluate model performance in production
Translate model-level signals into product and business metrics
Own commercial impact analysis, including cost savings, handle-time efficiency, support deflection, and retention/churn addressability sizing
Collaborate with AI/ML Engineering, Analytics Engineering, and Data Engineering teams on tracking requirements and data integrity across AI product pipelines and event schemas
Use Python or R alongside SQL to develop scalable analytical solutions
Design intuitive Looker dashboards to expand self-service across Product and Care Operations teams
Conduct deep-dive analyses and user/session segmentation to identify performance and opportunity areas
Recommend clear actions based on AI product performance analyses
Champion data quality, documentation, and deliverable consistency across dbt models and BigQuery tables
Mentor junior analysts
Report to the Manager of AI Analytics

Requirements

What you’ll need

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, such as quasi-experimental methods or observational study design
Experience with subscription-based business models and metrics, including cohort analysis, retention/churn analysis, and addressability sizing
Expert SQL skills; BigQuery preferred
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
Proactive, ownership-driven mindset with strong organizational and prioritization skills
Preferred: Experience evaluating conversational AI or LLM-based products
Preferred: Familiarity with telehealth concepts or subscription-based healthcare models, including clinical safety considerations in AI-assisted workflows
Preferred: Experience with GrowthBook or a comparable experimentation platform
Preferred: Experience with survival analysis or time-to-event modeling, including lifelines, pyfixest, or statsmodels
Preferred: dbt, Airflow, and Databricks experience
Must be legally authorized to work in the U.S. without restriction for any employer
Must not require immigration sponsorship by Hims & Hers in order to work in the U.S.

Benefits

Comp & perks

Competitive salary & equity compensation for full-time roles
Unlimited PTO
Company holidays
Quarterly mental health days
Comprehensive medical, dental & vision benefits
Parental leave
Employee Stock Purchase Program (ESPP)
401k benefits with employer matching contribution
Offsite team retreats
Flexible/remote work approach
Reasonable accommodations for qualified individuals with disabilities and disabled veterans