The Staff GTM Data Scientist will serve as a senior analytical leader, embedding themselves in the product and business data to uncover non-obvious insights and drive actionable recommendations.
Requirements
- 6+ years of professional experience in an applied data science, economics, or product analytics role
- B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline
- Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods
- Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing
- Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods
- Programming: Advanced proficiency in Python or R for statistical modeling
- Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses
- Data Pipelining: Experience with data transformation and workflow management tools
Benefits
- Tremendous career growth opportunities
- Competitive salary
- Health and commuter benefits
- Company paid life & disability
- 20+ PTO days
- 401K and FSA plans