Staff Data Scientist, Pricing
Core
Own modeling and experimentation for global pricing strategy, building elasticity and willingness-to-pay models to shape deal-desk automation and pricing intelligence.
Role type
Staff Data Scientist (Pricing Strategy & AI Systems)
Builds
Agentic deal tooling (DealBot), pricing intelligence systems, and analytical infrastructure for global pricing.
Domain
Fintech / Payments / Pricing Science
Deliverable
production ML models | product features
Required skills
Causal inference, price elasticity modeling, willingness-to-pay modeling, A/B testing design, Python, SQL, statistical analysis, AI system evaluation, ETL pipeline management
Preferred skills
Risk-based pricing experience, LLM/RAG/agentic AI system building, generative AI architectures
Technologies
Snowflake, Python (Pandas, Numpy), Tableau, Looker
Responsibilities
Model price elasticity and willingness-to-pay across segments; design and run pricing experiments; decompose merchant economics; build pricing intelligence for DealBot; evaluate and monitor AI systems for accuracy and bias; build self-serve pricing dashboards; measure AI automation impact with causal methods.
Seniority
Staff, hands-on IC with strategic scope