Staff Data Scientist (Pricing)

What you'll do

• Own donation pricing and amount optimization, including analytical strategy, modeling, and success metrics.
• Build behavioral and adaptive models, and lead experimentation and causal measurement for pricing decisions.
• Translate findings into deployable models and product recommendations; communicate with leaders and mentor data scientists.

What they ask for

• Either a Ph.D. in Economics, Applied Economics, or a closely related quantitative field, OR 8+ years of industry experience in data science, applied economics, pricing, marketplace optimization, or monetization at a high-tech digital company.
• Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decisions.
• Advanced proficiency in Python and SQL; ability to build, validate, and iterate on complex analytical and modeling workflows.
• Experience designing and interpreting experiments and causal signals; experience applying LLM-based or AI-assisted solutions to complex decisioning problems.

Nice to have

• Experience in consumer pricing, marketplaces, or digital payments/donations.
• Experience productionizing models and AI-driven systems; familiarity with Snowflake, Databricks, experimentation infrastructure, or model versioning and validation.

Pay

$179,500 - $269,500 USD base salary

Tools

Python, pandas, NumPy, scikit-learn, PyMC/Stan, SQL, Snowflake, Databricks

AI focus

Use machine learning, reinforcement-aware approaches, modern AI tools and coding agents, and LLM-based or AI-assisted solutions to model donor behavior, support decisioning, and accelerate research, experimentation, and productionization.