Senior AI Product Analytics Lead - Remote + Equity

Bazeta

United States

Remote

USD 180,000 - 240,000

Full time

4 days ago
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Job summary

Hims & Hers is seeking a Staff Analyst, AI Product in the United States. You will act as a strategic analytics partner for AI teams, measuring product performance and shaping experimentation and measurement strategies for AI-driven experiences.

You will work with cross-functional teams and leverage SQL, Python/R, and Looker to translate data into actionable insights, guiding roadmap decisions and operational improvements.

Qualifications

  • 8+ years of analytics, data science, or related field.
  • Bachelor's degree in Statistics, Mathematics, Economics, CS, Engineering.
  • 5+ years designing, executing, and analyzing A/B tests (AI/ML) preferred.
  • Experience partnering with ML teams to translate model outputs to metrics.
  • Experience with dbt-modelled production pipelines and BigQuery.
  • Familiarity with subscription-based business metrics and cohort analysis.

Responsibilities

  • Partner with AI product teams to measure performance and inform roadmap.
  • Own experimentation strategy for AI product launches and iterations.
  • Apply causal inference methods to assess AI impact where randomized tests aren’t feasible.
  • Define metrics and measurement plans across pre- to post-launch stages.
  • Design Looker dashboards to democratize AI product metrics.
  • Mentor junior analysts and ensure data quality across pipelines.

Skills

A/B testing design
Communication to leadership
Product strategy influence
Data storytelling

Education

Bachelor's degree in Statistics, Mathematics, Economics, CS, Engineering

Tools

SQL (BigQuery)
Looker/Tableau
dbt
Airflow
Databricks
GrowthBook

Job description

Hims & Hers is seeking a Staff Analyst, AI Product in the United States. You will act as a strategic analytics partner for AI teams, measuring product performance and shaping experimentation and measurement strategies for AI-driven experiences.

You will work with cross-functional teams and leverage SQL, Python/R, and Looker to translate data into actionable insights, guiding roadmap decisions and operational improvements.

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