decision scientist principal

About the role

Starbucks is transforming Finance through data, advanced analytics, AI, and modern decision intelligence. The Decision Scientist Principal defines and shapes the Finance Data Science and Decision Intelligence strategy, identifying and advancing opportunities where data, analytics, artificial intelligence, and predictive intelligence can improve business performance, strengthen decision‑making, and accelerate Finance transformation. The role serves as a trusted advisor to Finance leaders, translating strategic priorities into measurable outcomes and fostering a culture of data‑driven decision‑making.

Responsibilities

• Drive strategy and transformation by defining and evolving Finance’s data vision and strategy through advanced analytics, AI, automation, and emerging technologies.
• Translate complex business challenges into high‑value analytical and decision‑support solutions that improve performance, efficiency, agility, and organizational effectiveness.
• Establish key partnerships and influence outcomes with Finance, Starbucks Technology, and other enterprise teams to prioritize and deliver scalable analytical capabilities.
• Mentor and coach Finance data scientists, establishing best practices, skill development, and thought leadership in advanced analytics, AI, and decision intelligence.
• Champion analytical excellence, develop organizational capability, and ensure Finance investments in analytics deliver sustainable business value.

Requirements

• BA/BS or equivalent experience.
• 10+ years of experience in data science, analytics, or a related field.
• Experience with cloud technologies for data and analytics solutions (Azure, AWS).
• Proficiency in Excel, SQL, Tableau or Power BI, and a scripting language such as Python, R, or experimental design platforms.
• Strong knowledge of data methodologies and the ability to operationalize insights.
• Excellent attention to detail and strong written and verbal communication skills.

Preferred Qualifications

• MS concentration in Statistics, Mathematics, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or a related discipline.

Benefits

• Medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance options.
• Short‑term and long‑term disability coverage.
• Paid parental leave and family expansion reimbursement.
• Paid vacation from date of hire (accrual varies by state and role level), sick time (1 hour per 25 hours worked), eight paid holidays, and two personal days per year.
• 401(k) retirement plan with employer match.
• Discounted company stock program (S.I.P.) and Starbucks equity program (Bean Stock).
• Incentivized emergency savings and 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 resources and access to additional educational opportunities.
• Backup care and DACA reimbursement.

Pay

The base pay for this position will be determined based on factors such as job‑related knowledge and skills, experience, geographic location, and internal equity. Compensation decisions are made on a case‑by‑case basis.

Schedule

This role requires onsite work four days per week.