Clay
Data Scientist
$170K–$300K
San Francisco · Hybrid · Full-time · Posted Aug 14, 2026
- Experience
- 5+ years in data science.
About the job
Embedded with a partner team, the Data Scientist designs experiments, builds predictive models and metrics, and delivers analysis to guide product and business decisions.
What you'll do
- Design and analyze experiments, including causal inference and incrementality measurement when A/B tests are not feasible.
- Build metric frameworks, predictive models, and forecasts to measure business outcomes and guide priorities.
- Investigate anomalies and strategic questions, translating findings into decision-ready analysis for partner-team leaders.
What they ask for
- 5+ years in data science, with demonstrated ownership of experimentation, causal inference, or predictive modeling.
- Strong statistical and experimentation foundations, including experiment design and effect estimation.
- Expert SQL and Python.
- Experience using AI tools such as Claude Code, Cursor, or similar to accelerate analytical work.
Nice to have
- Experience with Snowflake, Github, dbt, Hex, Sigma, or Dagster.
- Experience in product-led growth or B2B SaaS, especially usage-based pricing; or partnering with ML engineers to productionize models.
Pay
$170K – $300K (base salary)
Tools
SQL, Python, Claude Code, Cursor, Snowflake, Github, dbt, Hex
AI focus
Uses AI tools to accelerate analytical work; AI handles routine analytical questions, freeing the role to focus on causal inference, prediction, and deep-dive analysis.
Model-written summary · the original posting is authoritative