Collective
Senior Product Data Scientist
$180K–$230K
San Francisco · Hybrid · Senior · Full-time · Posted Oct 30, 2026
- Experience
- 6+ years in data science, product analytics, analytics engineering, or data engineering.
- Education
- Bachelor’s degree in mathematics, statistics, or a technical field, or equivalent practical experience.
About the job
Own product analytics, metrics, and trusted data systems to inform Collective’s product strategy, growth, and member retention.
What you'll do
- Partner with cross-functional stakeholders to analyze member behavior, shape the product roadmap, and prioritize growth opportunities.
- Define and report on product metrics; apply statistical and modeling techniques, including segmentation, cohort, retention, churn, and experiment analysis.
- Build and maintain tested, documented datasets, data quality monitoring, semantic definitions, and documentation for company use and internal data agents.
What they ask for
- 6+ years in data science, product analytics, analytics engineering, or data engineering.
- Bachelor’s degree in mathematics, statistics, or a technical field, or equivalent practical experience.
- Expert SQL and strong scripting skills in Python or R; hands-on experience building trusted datasets from raw sources with a modern data stack.
- Experience designing and interpreting A/B and multivariate tests, and hands-on product analytics experience.
Nice to have
- Experience at a B2B SaaS or fintech company; exposure to financial, accounting, tax, or payroll data.
- Experience with semantic layers or metric stores for LLM-based tools, LLM evaluations, or AI-assisted development.
Pay
$180K – $230K (base salary)
Tools
SQL, Python, R, BigQuery, dbt, Fivetran, Statsig, LaunchDarkly
AI focus
Maintain semantic definitions and documentation so Claude and internal data agents can answer questions; LLM evaluation or AI-assisted development is a plus.
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