
Staff Analyst, AI
Posted Sep 3

Posted Sep 3
This is a fully remote position, open to applicants in United States.
β’ 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.
β’ Offer thought leadership and strategic support to stakeholders involved in AI Product initiatives.
β’ Shape the roadmap and investment strategies by leveraging data-driven insights into the performance of AI products.
β’ 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.
β’ Utilize causal inference and quasi-experimental methodologies to evaluate the impact of AI on retention as well as clinical and operational outcomes.
β’ Define, validate, and manage metrics frameworks and measurement plans for emerging AI product use cases.
β’ Implement pre-launch instrumentation and conduct post-launch evaluations within a complex, multi-source data landscape.
β’ Collaborate with ML/Applied AI teams to assess model performance in a production environment.
β’ Convert model-level signals into actionable product and business metrics.
β’ Conduct commercial impact assessments, including cost savings, handle-time efficiency, support deflection, and retention/churn addressability sizing.
β’ 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.
β’ Employ Python or R in combination with SQL to create scalable analytical solutions.
β’ Design user-friendly Looker dashboards to enhance self-service capabilities across Product and Care Operations teams.
β’ Perform in-depth analyses and user/session segmentation to pinpoint performance improvement and opportunity areas.
β’ Propose clear action items based on analyses of AI product performance.
β’ Advocate for data quality, documentation, and consistency in deliverables across dbt models and BigQuery tables.
β’ Mentor junior analysts in the team.
β’ Report directly to the Manager of AI Analytics.
β’ Minimum of 8 years in analytics, data science, or a related quantitative discipline.
β’ Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field.
β’ At least 5 years of experience in designing, executing, and analyzing A/B tests, preferably including tests related to AI/ML-driven product experiences.
β’ Proven experience collaborating with ML teams to assess model outputs and translate these into product and business metrics.
β’ Significant experience working with data engineering and analytics engineering teams, particularly with dbt-modeled production pipelines.
β’ Strong foundation in experimental design and statistical inference.
β’ Proficient in employing causal inference techniques beyond standard A/B testing, such as quasi-experimental methods or observational study designs.
β’ Familiarity with subscription-based business models and metrics, including cohort analysis, retention/churn analysis, and addressability sizing.
β’ Expertise in SQL; experience with BigQuery is preferred.
β’ Advanced skills with Looker or Tableau.
β’ Ability to articulate technical analyses clearly to non-technical stakeholders, including senior leadership.
β’ Experience in shaping and influencing product strategy.
β’ Proactive mindset with a strong sense of ownership, organizational, and prioritization skills.
β’ Preferred: Experience in assessing conversational AI or LLM-based products.
β’ Preferred: Knowledge of telehealth concepts or subscription-based healthcare models, including clinical safety considerations in AI-assisted workflows.
β’ Preferred: Experience with GrowthBook or similar experimentation platforms.
β’ Preferred: Familiarity with survival analysis or time-to-event modeling, including lifelines, pyfixest, or statsmodels.
β’ Preferred: Experience with dbt, Airflow, and Databricks.
β’ Must be legally authorized to work in the U.S. without restrictions for any employer.
β’ Must not require immigration sponsorship from Hims & Hers to work in the U.S.
β’ Competitive salary and equity compensation for full-time positions.
β’ Unlimited paid time off (PTO).
β’ Company holidays.
β’ Quarterly mental health days.
β’ Comprehensive medical, dental, and vision benefits.
β’ Parental leave.
β’ Employee Stock Purchase Program (ESPP).
β’ 401k benefits with employer matching contributions.
β’ Offsite team retreats.
β’ Flexible and remote work options.
β’ Reasonable accommodations for qualified individuals with disabilities and disabled veterans.
Invisible Technologies
Invisible Technologies
Invisible Technologies
Invisible Technologies
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