Staff Data Scientist, Pricing

Go Fund Me
San Francisco
Workplace: HybridFull timeUSD 179,500 - 269,500 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Leadership","Storytelling","Influencing","Collaboration"]

Senior data scientist focused on pricing and yield optimization, combining economics, behavioral modeling, and AI to optimize donation conversion and donor experience. Leads experimentation, causal learning, and deployment of pricing models, collaborating with Product and Engineering in a hybrid SF-based role with an in-office requirement.

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FursaFursa
Go Fund Me
Go Fund Me
6 months ago

Staff Data Scientist, Pricing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Senior data scientist focused on pricing and yield optimization, combining economics, behavioral modeling, and AI to optimize donation conversion and donor experience. Leads experimentation, causal learning, and deployment of pricing models, collaborating with Product and Engineering in a hybrid SF-based role with an in-office requirement.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own donation pricing and amount optimization end-to-end: Define the analytical strategy, modeling frameworks, and success metrics for pricing recommendations across product surfaces, balancing conversion, donation amounts, and long-term donor trust.
  • •Model human behavior using economics and AI: Apply economic theory, behavioral science, and machine learning to understand donor decision-making, estimate elasticity, and predict responses to changes in product design and choice architecture.
  • •Lead experimentation and causal learning: Partner with Product and Engineering to design robust experimentation and measurement frameworks, ensuring pricing and donation models are causal-aware, interpretable, and safe to deploy at scale.
  • •Incorporate external data and context: Augment behavioral models with external datasets (macroeconomic indicators, seasonality, regional or temporal signals) to better understand and anticipate donor behavior.
  • •Translate insights into action: Convert complex economic and behavioral analyses into deployable models, clear product recommendations, and measurable business impact.

Pay and Benefits

Salary: USD 179,500 - 269,500 annually
Perks:Health InsuranceDentalVision401kEquity

Key Requirements

  • •Ph.D. in Economics or Applied Economics or closely related quantitative field OR 8+ years of industry experience in data science, pricing, marketplace optimization, or monetization at a high-tech digital company with a track record of owning/scaling pricing or decisioning systems
  • •Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems
  • •Demonstrated ability to own ambiguous, high-impact problems and deliver measurable business outcomes
  • •Strong foundation in econometrics, causal inference, and behavioral modeling
  • •Experience with Python and SQL and building/validating complex analytical/modeling workflows or using AI tools
Experience:PricingEconomicsData scienceDigital marketplace
Skills:CommunicationLeadershipStorytellingInfluencingCollaboration
Languages:English
Tech Stack:PythonSQLPandasNumPyScikit-learnPyMCStanLLMDatabricksSnowflakeReinforcement learningBandits

Company Brief

Go Fund Me
Operates an online crowdfunding platform that enables individuals and organizations to raise money for personal causes, medical expenses, charities, and community projects through donations from the public.
Industry: Online Marketplaces
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: San Diego, United States
Founded: 2010
WebsiteLinkedIn