Senior Data Scientist, Forecasting & Supply Chain Optimization

Starbucks; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Tuition reimbursement

401(k) with company match

Stock program

Job summary

Starbucks is seeking a Principal Data Scientist to shape forecasting, planning, and decision-making across the enterprise. You will lead the scientific strategy for a unified planning capability, connecting demand, inventory, purchasing, and financial signals into an intelligent decision ecosystem.

You will mentor teams, establish standards, and collaborate with Supply Chain, Finance, Product, and Technology to deliver impact at scale. Onsite work model preferred.

Qualifications

• Deep expertise in forecasting, optimization, ML, and analytics.
• Experience leading cross-functional, enterprise-scale initiatives.
• Strong business acumen and ability to translate technical solutions into outcomes.

Responsibilities

• Define scientific vision and roadmap for forecasting and optimization across Starbucks.
• Lead unified planning capability and enterprise data truth across functions.
• Drive high-impact initiatives in demand forecasting, inventory optimization, and replenishment.
• Apply ML, optimization, causal inference, and AI to solve business problems; influence planning.
• Mentor data scientists and establish data science standards and governance.
• Communicate insights to executives and drive adoption of data-driven solutions.

Skills

Forecasting

Optimization

Machine learning

Time series

Leadership

Communication

Education

MS or PhD in quantitative field

Tools

Python

SQL

Cloud platforms

ML deployment

Job description

Starbucks is seeking a Principal Data Scientist to shape forecasting, planning, and decision-making across the enterprise. You will lead the scientific strategy for a unified planning capability, connecting demand, inventory, purchasing, and financial signals into an intelligent decision ecosystem.

You will mentor teams, establish standards, and collaborate with Supply Chain, Finance, Product, and Technology to deliver impact at scale. Onsite work model preferred.