Staff Data Scientist (Pricing)
Core
Drive science, strategy, experimentation, and AI deployment for pricing and yield optimization to optimize donation conversion, amounts, and donor experience.
Role type
Staff Data Scientist (Pricing)
Builds
Donation pricing and amount optimization systems, adaptive reinforcement-aware models, and causal learning frameworks.
Domain
Non-profit / Digital donations / Economics / Behavioral Science
Deliverable
production ML models
Required skills
Econometrics, causal inference, behavioral modeling, price elasticity, choice modeling, reinforcement learning, Python, SQL, LLM-based decisioning tools
Preferred skills
Consumer pricing experience, marketplace optimization, model productionization, modern data platforms (Snowflake, Databricks)
Technologies
Python (pandas, NumPy, scikit-learn, PyMC/Stan), SQL, LLM-based coding agents, Snowflake, Databricks
Responsibilities
Define analytical strategy and modeling frameworks for pricing recommendations; Model human behavior using economics and AI to estimate elasticity; Leverage non-transactional behavioral signals to detect intent shifts; Build adaptive and reinforcement-aware systems; Lead experimentation and causal learning frameworks; Incorporate external data and context into behavioral models; Translate insights into deployable models and product recommendations; Mentor other data scientists and set best practices.
Seniority
Staff, senior individual contributor with strategic ownership and mentorship
