Data Scientist
claylabs · San Francisco
Job description
About the role
Claylabs is looking for a Data Scientist to join its Data Science and Analytics team. The role is embedded with a partner team (Product, Marketing, Sales, Finance, or Partnerships) and works as the primary data partner, shaping experiments, metrics, and predictive models that drive business decisions.
Key responsibilities
- Own causal inference and experimentation, designing experiments and building incrementality measurement when clean A/B tests aren’t possible.
- Define business measurement frameworks, shape metric trees, establish success criteria for product launches, and forecast impact.
- Build predictive models that focus the team on high‑impact opportunities.
- Investigate root‑cause anomalies, develop new analysis frameworks, and guide the organization on what to prioritize.
- Partner as an embedded expert, turning ambiguous strategic questions into rigorous, decision‑ready analysis for senior leaders.
Required profile
- 5+ years of data science experience with ownership of experimentation, causal inference, or predictive modeling.
- Strong product and business sense, with a track record of influencing product and revenue decisions.
- Deep statistical and experimentation expertise, including experiment design, effect estimation, and knowing when results are unreliable.
- Expertise in SQL and Python.
- Experience using AI tools such as Claude Code or Cursor to accelerate analytical work.
- Clear communicator able to influence senior stakeholders.
Required skills
- SQL
- Python
- AI tools (Claude Code, Cursor)
- Snowflake
- GitHub
- dbt
- Hex
- Sigma
- Dagster
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Published 10 hours ago
Expires 1 month from now
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claylabs
San Francisco