Staff Product Data Scientist

PandaDoc

Remote
Remote
Causal inference methods
Advanced a/b testing
Python or r for statistical modeling
PandaDoc is seeking a Staff Product Data Scientist to lead data-driven initiatives, focusing on experimentation and causal analysis to inform business strategies. The role emphasizes collaboration with cross-functional teams and mentoring junior analysts while promoting a data-centric culture within the organization

Job Summary

  • Serve as a senior analytical leader, uncovering non-obvious insights and driving actionable recommendations to foster a data-driven culture.
  • Lead the experimentation roadmap, design advanced experiments, and apply causal inference techniques beyond A/B testing.
  • Partner with Data Engineering to scale data science capabilities and translate complex findings into actionable business narratives for leadership.

Matching Summary

Match Score: 85

PandaDoc is seeking a Staff Product Data Scientist to lead data-driven initiatives, focusing on experimentation and causal analysis to inform business strategies. The role emphasizes collaboration with cross-functional teams and mentoring junior analysts while promoting a data-centric culture within the organization.

Skills & Requirements

Must-have

  • Causal inference methods
  • Advanced A/B testing
  • Python or R for statistical modeling
  • SQL and data warehouses
  • Data-driven culture champion

Nice-to-have

  • dbt, Airflow, or Databricks experience
  • SaaS domain experience
  • Mentoring junior data scientists
  • Organizational change management

Key Requirements

  • 6+ years of experience
  • B.A. or B.S. in quantitative discipline
  • Master's degree preferred
  • Proficiency in Python or R
  • Expert-level SQL proficiency

Work Rights

Not specified

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