Staff Analyst, AI

athims & hersRemoteUS flagUnited StatesFull-timeArtificial IntelligenceLead$155k – $190k/year

Posted Sep 3

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

πŸ“‹ Description

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.


⛳️ Requirements

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.


🏝️ Benefits

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.

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