lead data scientist - Seattle, WA

Starbucks is hiring a Lead Data Scientist on the Digital Data Science team to develop advanced AI/ML models that power personalization and recommendations across Starbucks digital surfaces. The role owns the lifecycle from ideation and prototyping through production deployment, evaluation, and real-time monitoring.

• Lead design and development of scalable data science solutions from start to finish using machine learning and statistical analysis
• Transform business initiatives into data science solutions and monitor data science metrics and KPIs
• Mentor data analysts and data scientists on best practices, processes, frameworks, and KPIs
• Contribute to project planning with estimations, timelines, prioritization, and the analytical roadmap
• Own end-to-end lifecycle of AI/ML solutions from ideation and prototyping to production deployment with evaluation and monitoring

This position focuses on machine learning and statistical analysis for scalable personalization and recommendation systems, including 1:1, contextual, and operational personalization. It emphasizes end-to-end AI/ML lifecycle ownership with offline evaluation and real-time performance monitoring, supported by experimentation and KPI-driven iteration.

The ideal candidate is a Lead Data Scientist with strong machine learning and statistical analysis experience, ideally leading end-to-end AI/ML projects from ideation through production deployment. They have deep experience building personalization and recommendation systems (including 1:1 and contextual personalization) and are able to mentor and drive execution using data science metrics and KPIs.