decision scientist principal

Starbucks•Seattle, WA

6d•Hybrid

About The Position

Now Brewing – decision scientist principal! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As Starbucks continues to transform Finance through data, advanced analytics, AI, and modern decision intelligence, the Decision Scientist Principal contributes to Starbucks success by defining and shaping the Finance Data Science and Decision Intelligence strategy. This role is responsible for identifying, prioritizing, and advancing opportunities where data, analytics, artificial intelligence, and predictive intelligence can improve business performance, strengthen decision-making, and accelerate Finance transformation. Success in this role requires the ability to connect business strategy to analytical opportunities, influence executive stakeholders, and drive adoption of innovative decision-support capabilities. The decision scientist principal serves as a trusted advisor to Finance leaders, helping translate strategic priorities into measurable outcomes while fostering a culture of data-driven decision-making and continuous improvement. This partner champions analytical excellence, develops organizational capability, and ensures Finance investments in analytics and decision intelligence deliver sustainable business value.

Requirements

BA/BS or equivalent experience
Experience with cloud tech for data and analytics solutions (Azure, AWS)
Expertise in Excel, SQL, Tableau / PowerBI and Python, R or other advanced analytics scripting language or experimental design platforms
Expertise in data methodologies and skills in accordance with business applicability and insights operationalization
Excellent attention to detail, strong written and verbal communication skills
10 years of experience in specific field of designated skills

Nice To Haves

MS concentration preferred with discipline in Stats, Math, Comp Sci, Engineering, Econ, Psychology, Quantitative Social Science, or similar

Responsibilities

Drive strategy and transformation by defining and evolving Finance’s data vision and strategy through advanced analytics, AI, automation, and emerging technologies.
Enhance decision intelligence practices and deliver business value by translating complex business challenges into high-value analytical and decision support solutions and identify opportunities to improve business performance, efficiency, agility, and organizational effectiveness.
Establish key partnerships and influence outcomes with Finance, Starbucks Technology, and other enterprise teams to drive prioritization and deliver scalable analytical capabilities and solutions.
Foster capability building and organizational adoption through mentoring and coaching Finance data scientists by establishing best practices, skill development, and becoming a thought leader and trusted advisor for advanced analytics, AI, decision intelligence, and data driven solutions.

Benefits

medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits
short-term and long-term disability
paid parental leave
family expansion reimbursement
paid vacation from date of hire
sick time (accrued at 1 hour for every 25 hours worked)
eight paid holidays
two personal days per year
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 resources
access to other educational opportunities
backup care
DACA reimbursement