Claylabs
Data Scientist
San Francisco, Remote. Posted 3 months ago
The role
You will be an embedded data partner for a team such as Product, Marketing, Sales, Finance, or Partnerships. You will own causal inference, design experiments, build predictive models, and define business metrics.
What you will do
- Own causal inference and experimentation
- Design and analyze experiments and build incrementality measurement
- Shape metric trees that connect team-level metrics to company outcomes
- Establish success criteria for product launches
- Build frameworks for sizing and forecasting impact
- Build predictive models
- Root-cause anomalies and investigate behavioral questions
- Build new analysis frameworks
- Partner as an embedded expert to leaders in your area
Required qualifications
- 5+ years in data science, with demonstrated ownership of experimentation, causal inference, or predictive modeling
- Strong product and business sense
- Strong statistical and experimentation foundations
- Expert SQL and Python
- Experience using AI tools (Claude Code, Cursor, or similar) to accelerate analytical work
- Clear communicator who can influence senior stakeholders
Nice to have
- Experience with our stack: Snowflake, Github, dbt, Hex, Sigma, Dagster
- Experience with product-led growth or B2B SaaS, especially usage-based pricing
- Experience partnering with ML engineers to productionize models
Benefits
- All employees can work with world-class coaches who specialize in creativity, management, and more
About the company
Clay is an AI business that provides infrastructure for companies to grow. They provide data, signals, and AI research to help customers go to market.