Staff Analyst, AI Product

hims-and-hers; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary & equity

Unlimited PTO & wellness days

Comprehensive health benefits

401k with matching

ESPP

Offsite team retreats

Job summary

Hims & Hers is seeking a Staff Analyst, AI to act as a strategic analytics partner for AI product teams. You will measure product performance, quantify commercial and clinical impact, and shape experimentation and measurement strategy for AI-driven experiences.

You will design and own metrics through multi-source data environments, partnering with ML teams to translate model outputs into business metrics and drive data-informed roadmap decisions.

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.

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, including test design, success metrics, and results interpretation.
• Apply causal inference and quasi-experimental methods to assess AI impact when randomized tests aren't feasible.
• Define, validate, and own metrics frameworks and measurement plans for AI product use cases from pre-launch to post-launch readouts.
• Partner with ML/Applied AI teams to evaluate model performance in production and translate signals into metrics.
• Own commercial impact analysis for AI products, including cost savings and retention impact.

Skills

Analytical thinking

Experiment design

Statistical inference

Communication to leadership

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering

Tools

BigQuery

Looker

Tableau

GrowthBook

dbt

Airflow

Databricks

Job description

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works. For information on the company’s outstanding benefits, culture, and its talent‑first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

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

• Partner with ML/Applied AI teams to evaluate model performance in production and translate model‑level signals (confidence, escalation type, resolution outcome) 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 (e.g., observational studies, survival/retention modeling) that go beyond what dashboards alone can answer

• Design intuitive Looker dashboards that democratize AI product metrics and elevate self‑service across Product and Care Operations teams

• Conduct deep‑dive analyses — including user/session segmentation — to answer strategic questions about AI product performance, identify where AI products are (and aren't) working, quantify opportunity areas, and recommend clear actions

• Champion data quality, documentation, and deliverable consistency across dbt models and BigQuery tables that power AI metrics, while mentoring junior analysts

You Have:

• 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 (e.g., classification accuracy, confidence scores, resolution quality)

• 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 (e.g., fixed‑effects regression, survival analysis)

• 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

Preferred Qualifications:

• 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
  

Our Benefits (there are more but here are some highlights):

• 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

We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging.

Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [e-mail] and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.

To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.