senior data scientist, Supply Chain Data Science (Seattle, WA)

Now Brewing: Senior Data Scientist, Supply Chain Data Science

As a Senior Data Scientist on the Supply Chain Data Science team, you will use advanced analytics and machine learning to solve complex, high-impact supply chain problems and help improve how Starbucks plans and operates its supply chain.

This role goes beyond developing analytical models and prototypes. We are looking for a strong, hands-on, Full Stack Data Scientist who can own data science solutions end to end, from understanding ambiguous business problems and developing analytical approaches to building production-quality code and scalable data pipelines that can be reliably deployed and maintained.

You will partner closely with data scientists, data engineers, technology teams, product partners, and supply chain business teams to translate complex problems into scalable data science solutions and measurable business impact.

As a Senior Data Scientist, you will:

• Design, develop, validate, and implement statistical and machine learning models that support supply chain decision-making. Analyze complex supply chain data and translate findings into clear, actionable recommendations.
• Design, build, and own reliable, scalable data and model pipelines that integrate data science solutions into business and operational workflows.
• Apply strong software engineering practices, including version control, code review, testing, documentation, and reproducibility.
• Communicate technical approaches, assumptions, results, limitations, and recommendations effectively to both technical and non-technical stakeholders.
• Independently lead complex data science projects, manage technical dependencies and risks, and drive work from problem definition through production delivery.
• Mentor and support other data scientists through technical guidance and code reviews.