senior manager, Data Science (Nashville, TN)

Now Brewing – Data Science Managers! #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 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, 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)

Benefits

• Medical, dental, vision, basic and supplemental life insurance; short‑ and long‑term disability; paid parental leave; family expansion reimbursement; paid vacation from date of hire; sick time; paid holidays; personal days; 401(k) with employer match; discounted company stock program; equity program; emergency savings incentive; financial well‑being tools; 100% upfront tuition coverage for a first‑time bachelor’s degree via ASU’s online program; student loan management resources; backup care; DACA reimbursement; compliance with applicable state and local laws; and more.
• 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 starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job‑related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.

We believe we do our best work when we're onsite four days a week.

Join us and inspire with every cup.

Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation or .