Senior Analyst, AI Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as a reliable analytics collaborator for teams involved in the development and operation of Hims & Hers' AI products.

• Provide data-driven insights regarding AI product performance, accompanied by recommendations for the product roadmap and investment choices.

• Design and evaluate tests for the launch and iteration of AI products, which includes determining success metrics, sample-size calculations, establishing guardrails, and interpreting results.

• Employ quasi-experimental techniques, such as difference-in-differences, fixed-effects models, and propensity score matching.

• Establish and confirm metrics and measurement strategies for new use cases in AI products.

• Transform vague business inquiries into well-defined metrics within a complex data environment comprising multiple sources.

• Collaborate with ML/Applied AI teams to assess model performance in production environments.

• Convert model-level signals into actionable product and business metrics.

• Evaluate cost savings, handle-time efficiency, support deflection, retention, churn, and addressability related to AI initiatives.

• Specify tracking requirements and maintain data integrity across AI product pipelines and event schemas.

• Utilize Python or R in conjunction with SQL to create analytical solutions that extend beyond standard dashboards.

• Develop user-friendly Looker dashboards for Product and Care Operations teams.

• Conduct in-depth analyses, including user and session segmentation.

• Identify areas of opportunity and suggest clear actionable steps.

• Work collaboratively across various functions with engineers, product managers, clinical operations, finance, AI/ML Engineering, Analytics Engineering, and Data Engineering.

• Report directly to the Senior Manager of AI Analytics.

⛳️ Requirements

• Over 5 years of experience in analytics, data science, or a related quantitative discipline.

• A Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related area.

• More than 3 years of experience in designing, executing, and analyzing A/B tests.

• Experience collaborating with data engineering and analytics engineering teams, including those utilizing dbt-modeled production pipelines.

• Strong foundation in experimental design and statistical inference.

• Familiarity with causal inference techniques that extend beyond standard A/B testing, such as quasi-experimental methods or observational study designs.

• Background in subscription-based business models and metrics, including cohort analysis, retention/churn analysis, and addressability sizing.

• Proficient in SQL, with a preference for BigQuery.

• Working knowledge of Python or R is required.

• Advanced expertise in Looker or Tableau.

• Skilled in articulating technical analyses to non-technical stakeholders, including senior management.

• Proven experience in transforming analysis into recommendations that influence product decisions.

• Strong organizational and prioritization capabilities, and comfort in navigating ambiguity.

• Preferred experience in evaluating conversational AI or LLM-based products.

• Familiarity with telehealth concepts or subscription-based healthcare models is preferred.

• Preferred experience with GrowthBook or a similar experimentation platform.

• Experience with survival analysis or time-to-event modeling is preferred.

• Familiarity with dbt, Airflow, and Databricks is preferred.

• Must have legal authorization to work in the U.S. without restrictions for any employer.

• Must indicate if future immigration sponsorship by Hims & Hers in the U.S. will be needed.

🏝️ Benefits

• Competitive salary and equity compensation for full-time positions.

• Unlimited paid time off (PTO).

• Company-observed holidays.

• Quarterly mental health days.

• Comprehensive health benefits that include medical, dental, and vision coverage.

• Parental leave policy.

• Employee Stock Purchase Program (ESPP).

• 401(k) benefits with employer matching contributions.

• Team retreats held offsite.

• Flexible and remote work options.

• Reasonable accommodations provided for qualified individuals with disabilities and disabled veterans.