Senior/Lead Decision Scientist, Data & Analytics
Employment type
Full-time
Work setting
On-site
Location
Gordonsville, TN
Schedule
Day shift
Posted
You'll be redirected to the employer's application page.
Job overview
The Senior/Lead Decision Scientist, Data & Analytics role is an onsite position based in Gordonsville, TN. Compensation is not specified for this role, which supports the Starbucks Data & Analytics department in driving business strategy through advanced modeling. This role exists to power data-driven decision-making across coffeehouse operations, partners, and supply chain domains. The incumbent will shape how insights are translated into action, enabling teams to optimize store performance, improve partner and customer experience, and scale solutions across the enterprise.
What you'll do
- Partner with cross-functional stakeholders to define problem statements, success metrics, and decision frameworks.
- Translate ambiguous business problems into structured analytical frameworks and actionable insights.
- Guide stakeholders through trade-offs, risks, and implications of data-driven recommendations.
- Communicate insights clearly to both technical and non-technical audiences, influencing decisions at multiple levels.
What we're looking for
- Skills & competencies
- full-timeday shiftgordonsville tnstarbucksdecision scientistdata analyticssqlpythontableauonsiteno on-callno travel
- Work arrangement
- Weekend coverage required
Benefits & perks
- Medical, dental, vision, life insurance, disability, paid parental leave, 401(k) with match, company stock program, tuition coverage, and paid time off.
Why this role
Requires 5+ years in analytics or decision science, proficiency in Python, SQL, and modern BI tools like Tableau or Power BI.
About the employer
Starbucks is hiring for this role. Industry: Snack and Nonalcoholic Beverage Bars. Sector: 72.
Additional details
- Industry sector
- 72
- Industry
- Snack and Nonalcoholic Beverage Bars
- Occupation code
- 15-2051.00
You'll be redirected to the employer's application page.
Listing ID: ee49e5e9-03e7-49f3-b916-a9030a6651fe