Staff Gtm Data Scientist

PandaDoc

Remote
Base: $190,000-$210,000; bonus/equity: not specifi...
Remote
Advanced experimentation design
Causal inference methods
Python or r proficiency
PandaDoc is seeking a Staff Data Scientist to drive data-driven decision-making and experimentation strategies within the company. The ideal candidate will have extensive experience in data science, particularly in causal inference and experimentation methodologies, to provide actionable insights that influence business strategies

Job Summary

  • Serve as a senior analytical leader, uncovering non-obvious insights and driving actionable recommendations to foster a data-driven culture.
  • Own the advancement of experimentation capabilities, train others on causal methodologies, and provide clear understanding of true impact and causality.
  • Partner with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical assets that empower other analysts.

Matching Summary

Match Score: 85

PandaDoc is seeking a Staff Data Scientist to drive data-driven decision-making and experimentation strategies within the company. The ideal candidate will have extensive experience in data science, particularly in causal inference and experimentation methodologies, to provide actionable insights that influence business strategies.

Salary

Base: $190,000-$210,000; Bonus/Equity: Not specified; Benefits: Competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans

Skills & Requirements

Must-have

  • Advanced Experimentation Design
  • Causal Inference Methods
  • Python or R Proficiency
  • SQL and Data Warehousing
  • Data Storytelling and Influence

Nice-to-have

  • Drive organizational change
  • Navigate ambiguity
  • SaaS domain experience
  • Product Data Science focus

Key Requirements

  • 6+ years of experience
  • B.A. or B.S. in quantitative discipline
  • Master's degree preferred
  • Expertise in Causal Inference methods
  • Expertise in A/B testing methodologies

Work Rights

Not specified

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