Product Staff Data Scientist role at PandaDoc: championing data-driven culture, experimentation capabilities, and causal methodologies. Senior analytical leader for product and business data insights.
Requirements
- 6+ years of professional experience in applied data science, economics, or product analytics
- B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline
- Advanced proficiency in Python or R for statistical modeling
- Expert-level proficiency in SQL and experience working with established data warehouses
- Experience with data transformation and workflow management tools (e.g., dbt, Airflow, or Databricks)
- 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
- Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses
Benefits
- Competitive salary
- Health and commuter benefits
- Company paid life & disability
- 20+ PTO days
- 401K and FSA plans