Key skills
PythonSQLRPandasData EngineeringAnalyticsA/B Testing
About this role
Role Overview
- Lead the Experimentation Roadmap
- Design, implement, and rigorously analyze complex A/B tests
- Apply advanced causal inference techniques
- Conduct complex, proactive, and exploratory analysis
- Define, instrument, and govern a unified Key Performance Indicator (KPI) framework
- Partner with Data Engineering to design and build scalable, self-serve experimentation tooling
- Translate complex statistical findings into clear business narratives
- Train and mentor junior and mid-level data scientists
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
- Demonstrated expertise in applying a wide range of Causal Inference methods
- Expertise in advanced statistical methodologies for A/B testing
- Mastery of advanced statistical modeling, time-series analysis, and quantitative methods
- Advanced proficiency in Python or R
- Expert-level proficiency in SQL
- Experience with data transformation and workflow management tools
Tech Stack
- Python
- SQL
Benefits
- tremendous career growth opportunities
- competitive salary
- health and commuter benefits
- company paid life & disability
- 20+ PTO days
- 401K and FSA plans
- fun team of Pandas to work with!