lead data scientist, Pricing Analytics (Seattle, WA)
Core
Lead the development of advanced pricing models and optimization algorithms to shape pricing decisions and optimize revenue for Starbucks company-owned stores in the US and Canada.
Role type
Senior IC lead data scientist (pricing analytics)
Builds
Scalable, data-driven pricing framework and optimization systems
Domain
Retail / Pricing Analytics / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, statistical techniques (regression, classification, clustering, causal inference), Python, SQL, cloud-based analytics platforms (Databricks, Azure), production-grade data pipelines, business impact storytelling, mentoring
Preferred skills
Bayesian elasticity models, optimization techniques (linear programming, mixed-integer programming), PySpark
Responsibilities
Build scalable pricing frameworks, implement optimization strategies leveraging ML and simulation, partner with strategy and finance, mentor data scientists
Seniority
Senior, hands-on IC with leadership responsibilities
