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Lead Data Scientist (Product & Experimentation)

Philo

$172,000 - $237,000
Sep 16, 2025
Remote, US
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Philo is looking for a Lead Data Scientist (Product & Experimentation) to help elevate their product analytics and experimentation practice, build a world-class experimentation platform, establish methodological rigor for product analytics, and mentor the data science team to deliver high-impact analytical solutions that improve the user experience.

Requirements

  • demonstrated proficiency in Python, SQL, and statistical modeling
  • Deep expertise in experimental design, A/B testing, and causal inference methods
  • Strong experience with sequential testing, power analysis, and sample size calculations
  • Proven track record of building and scaling experimentation platforms
  • Experience with user behavior modeling, funnel analysis, and cohort analytics
  • Excitement to leverage the latest LLM tools to improve workflows and efficiency.
  • Experience in building robust data models for product analytics

Responsibilities

  • Set the roadmap and model best practices for product experimentation and A/B testing at Philo
  • Lead the evolution of our experimentation platform (GrowthBook) and establish gold-standard practices for experiment design, analysis, and interpretation
  • Partner with product leadership to identify and prioritize high-impact experimentation opportunities across the user journey
  • Establish and evangelize methodological standards for causal inference and statistical testing
  • Build frameworks for measuring product feature impact and user engagement metrics
  • Coach and mentor data scientists on advanced experimentation techniques and product analytics
  • Collaborate with engineering teams to ensure robust data instrumentation and tracking

Other

  • 3+ years of experience leading experimentation programs or product analytics teams
  • Experience mentoring data scientists on experimentation best practices
  • Excellent communication skills with ability to translate statistical concepts to product teams
  • Strong product sense and ability to connect analytics to user experience outcomes
  • Experience with modern experimentation platforms and BI dashboarding tools