Staff Data Scientist (pricing)

GoFundMe

San Francisco, CA, United States
Base: $179,500 - $269,500; bonus/equity: equity of...
On-site
Phd in economics or 8+ years experience
Econometrics and causal inference expertise
Python and sql proficiency
This role serves as the senior individual contributor driving science, strategy, experimentation, and AI deployment behind pricing and yield optimization at GoFundMe

Job Summary

  • This role serves as the senior individual contributor driving science, strategy, experimentation, and AI deployment behind pricing and yield optimization at GoFundMe.
  • Candidates will apply economic theory, behavioral science, and machine learning to understand donor decision-making and predict responses to product changes.
  • The position offers competitive pay ranging from $179,500 to $269,500 along with comprehensive benefits including healthcare, equity, and generous parental leave.

Matching Summary

This role serves as the senior individual contributor driving science, strategy, experimentation, and AI deployment behind pricing and yield optimization at GoFundMe.

Salary

Base: $179,500 - $269,500; Bonus/Equity: Equity offered; Benefits: Healthcare, dental, vision, life insurance, 401(k)

Skills & Requirements

Must-have

  • PhD in Economics or 8+ years experience
  • Econometrics and causal inference expertise
  • Python and SQL proficiency
  • Behavioral modeling and price elasticity
  • Reinforcement learning and bandits

Nice-to-have

  • Experience with LLM-based AI tools
  • Consumer pricing or marketplace background
  • Strong storytelling and leadership skills
  • Familiarity with Snowflake or Databricks
  • Productionizing models in live environments

Key Requirements

  • PhD in Economics or related field OR 8+ years industry experience
  • Deep experience in applied economics and pricing systems
  • Proven track record of scaling decisioning systems

Work Rights

Not specified

Tailored Resume

Cover Letter