Staff Analyst, AI

Posted 3 days ago

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

📋 Description

• Act as a strategic analytics collaborator for teams developing and managing Hims & Hers AI products, such as patient-facing AI chat assistants and internal AI tools for care teams.

• Offer thought leadership and strategic support to stakeholders involved in AI Product initiatives.

• Shape the roadmap and investment strategies by leveraging data-driven insights into the performance of AI products.

• Oversee the experimentation strategy for AI product launches and iterations, which includes test design, defining success metrics, estimating sample sizes, setting guardrails, and interpreting results.

• Utilize causal inference and quasi-experimental methodologies to evaluate the impact of AI on retention as well as clinical and operational outcomes.

• Define, validate, and manage metrics frameworks and measurement plans for emerging AI product use cases.

• Implement pre-launch instrumentation and conduct post-launch evaluations within a complex, multi-source data landscape.

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

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

• Conduct commercial impact assessments, including cost savings, handle-time efficiency, support deflection, and retention/churn addressability sizing.

• Work alongside AI/ML Engineering, Analytics Engineering, and Data Engineering teams to ensure tracking requirements and data integrity across AI product pipelines and event schemas.

• Employ Python or R in combination with SQL to create scalable analytical solutions.

• Design user-friendly Looker dashboards to enhance self-service capabilities across Product and Care Operations teams.

• Perform in-depth analyses and user/session segmentation to pinpoint performance improvement and opportunity areas.

• Propose clear action items based on analyses of AI product performance.

• Advocate for data quality, documentation, and consistency in deliverables across dbt models and BigQuery tables.

• Mentor junior analysts in the team.

• Report directly to the Manager of AI Analytics.


⛳️ Requirements

• Minimum of 8 years in analytics, data science, or a related quantitative discipline.

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

• At least 5 years of experience in designing, executing, and analyzing A/B tests, preferably including tests related to AI/ML-driven product experiences.

• Proven experience collaborating with ML teams to assess model outputs and translate these into product and business metrics.

• Significant experience working with data engineering and analytics engineering teams, particularly with dbt-modeled production pipelines.

• Strong foundation in experimental design and statistical inference.

• Proficient in employing causal inference techniques beyond standard A/B testing, such as quasi-experimental methods or observational study designs.

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

• Expertise in SQL; experience with BigQuery is preferred.

• Advanced skills with Looker or Tableau.

• Ability to articulate technical analyses clearly to non-technical stakeholders, including senior leadership.

• Experience in shaping and influencing product strategy.

• Proactive mindset with a strong sense of ownership, organizational, and prioritization skills.

• Preferred: Experience in assessing conversational AI or LLM-based products.

• Preferred: Knowledge of telehealth concepts or subscription-based healthcare models, including clinical safety considerations in AI-assisted workflows.

• Preferred: Experience with GrowthBook or similar experimentation platforms.

• Preferred: Familiarity with survival analysis or time-to-event modeling, including lifelines, pyfixest, or statsmodels.

• Preferred: Experience with dbt, Airflow, and Databricks.

• Must be legally authorized to work in the U.S. without restrictions for any employer.

• Must not require immigration sponsorship from Hims & Hers to work in the U.S.


🏝️ Benefits

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

• Unlimited paid time off (PTO).

• Company holidays.

• Quarterly mental health days.

• Comprehensive medical, dental, and vision benefits.

• Parental leave.

• Employee Stock Purchase Program (ESPP).

• 401k benefits with employer matching contributions.

• Offsite team retreats.

• Flexible and remote work options.

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

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