Senior manager, Data Science; Nashville, TN

Now Brewing - Data Science Managers!

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 a Data Science Manager, you'll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You'll coach partners in technical and career development, set standards and best practices, and ensure insights and machine learning solutions are scalable, measurable, and adopted into business workflows.

As a Data Science Manager, you will

• Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning.
• Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models.

• Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices-removing roadblocks and aligning cross-functional partners.

We'd love to hear from people with:

• BA/BS (or equivalent experience)
• 5-7+ years of experience in data science, analytics, or a closely related field
• Proficiency with Python or R, SQL, and relational databases
• Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering)
• Experience with cloud data/analytics solutions (e.g., Azure or AWS)
• Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail

Preferred qualifications

• MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience
• 8+ years managing a small team (approximately 2-4 people) and developing technical talent
• Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar)
• Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability)

As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to 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, and two personal days per year.

Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 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 other educational opportunities.

You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative.

For additional information regarding partner perks and more detailed information about benefits, go to

If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation 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, you will be granted vacation time…