Staff Product Data Scientist
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Job Description
Staff Data Scientist at PandaDoc leading data-driven initiatives to uncover insights and drive business impact via experimentation and causal inference methods.
Responsibilities:
- serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations
- champion and drive the organizational shift toward a data-driven culture
- own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies
- provide leadership with a clear, reliable understanding of true impact and causality
- report to the Director of Product Data and act as a strategic thought partner to various teams
- define, champion, and execute a strategic roadmap for measuring impact
- design, implement, and analyze complex A/B tests and other experiments
- apply advanced causal inference techniques to scenarios where RCTs are infeasible
- 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 experimentation tooling
- act as a strategic thinker translating findings into clear business narratives
- serve as a technical subject matter expert, training and mentoring junior data scientists
Requirements:
- 6+ years of professional experience in an applied data science, economics, or product analytics role
- proven track record of leveraging experimentation and causal inference methods to drive significant business impact
- B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline
- Master’s degree in a quantitative field is preferred, but not required
- 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 for statistical modeling
- expert-level proficiency in SQL and experience with established data warehouses
- experience with data transformation and workflow management tools is a strong plus.
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!
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