senior data scientist, Supply Chain Data Science (Seattle, WA)
StarbucksStarbucks is seeking a Senior Data Scientist to join its Supply Chain Data Science team. The role focuses on developing and deploying advanced analytics and machine learning solutions for complex supply chain problems, including scalable data and model pipelines. The position also involves leading end-to-end data science projects, collaborating with technical and business stakeholders, and mentori
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ng other data scientists.
Responsibilities
• 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
Skills
• 4+ years of professional experience in data science, machine learning, applied analytics, or a closely related field
• BA/BS or advanced degree in computer science, data science, statistics, mathematics, engineering, or another quantitative field, or equivalent practical experience
• Strong proficiency in Python and SQL
• Demonstrated experience developing production-level Python code
• Hands-on experience converting data science prototypes into reliable, maintainable production solutions
• Strong understanding of software engineering practices such as modular code design, testing, debugging, version control, documentation, and code review
• Experience working with large and complex datasets and developing scalable data-processing solutions
• MS or PhD in computer science, data science, statistics, operations research, engineering, mathematics, or a related quantitative discipline
• Experience developing data science solutions in a supply chain, forecasting, inventory, replenishment, or planning environment
• Experience with Spark or other distributed data-processing technologies
• Experience with modern cloud-based data and machine learning platforms, such as Databricks, is preferred
• Experience with CI/CD practices for data science or machine learning solutions
• Experience monitoring production solutions and improving their reliability and performance over time
• Demonstrated ability to mentor other data scientists and raise engineering and coding standards within a data science team
Benefits
• Medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits for the partner and their family
• Short-term and long-term disability
• Paid parental leave
• Family expansion reimbursement
• Paid vacation from date of hire; for roles in CA, CO, IL, LA, ME, MA, NE, ND or RI, vacation accrues up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above; for roles in other states, vacation starts at 120 hours annually for roles below director and 200 hours annually for roles director and above
• Sick time accrued at 1 hour for every 25 hours worked
• Eight paid holidays
• Two personal days per year
• Eligible partners' participation in a 401(k) retirement plan with employer match
• Discounted company stock program (S.I.P.)
• Starbucks equity program (Bean Stock)
• Incentivized emergency savings
• Financial well-being tools
• 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
• Student loan management