senior manager, Data Science
Not Disclosed•Full-TimeOn-site
location_onStockyard Boulevard, Downtown Nashville, Nashville, Davidson County, Middle Tennessee, Tennessee, 37219, United States
About the Team
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 will lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You will 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.
About the Role
In this role, you will drive end-to-end data science delivery, from problem framing and data preparation through modeling, performance assessment, and operationalization of insights. You will set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices, while removing roadblocks and aligning cross-functional partners.
Work Environment
We believe we do our best work when we're together, which is why we're onsite four days a week.
Application Instructions
Join us and inspire with every cup. Apply today!
Equal Opportunity
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.
Work location
Work model: On-site
Stockyard Boulevard, Downtown Nashville, Nashville, Davidson County, Middle Tennessee, Tennessee, 37219, United States
Nashville, Tennessee
Key Responsibilities
- check_circleLead and develop a high-performing team of data scientists and analysts
- check_circleDrive end-to-end data science delivery from problem framing to operationalization
- check_circleSet and scale best practices for coding, version control, and data security
- check_circleEnsure machine learning solutions are scalable, measurable, and integrated into workflows
- check_circleCoach team members in technical and career development
- check_circleAlign cross-functional partners to remove roadblocks and ensure adoption
Requirements
- verifiedBA/BS degree or equivalent experience
- verified5-7+ years of experience in data science, analytics, or related field
- verifiedProficiency with Python or R, SQL, and relational databases
- verifiedWorking knowledge of machine learning/statistical techniques
- verifiedExperience with cloud data/analytics solutions (e.g., Azure or AWS)
- verifiedExperience managing and coaching a team
Nice to Have
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 & Perks
check_circleMedical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefitscheck_circleShort-term and long-term disability coveragecheck_circlePaid parental leave and family expansion reimbursementcheck_circlePaid vacation from date of hire, sick time, eight paid holidays, and two personal days per year401(k) retirement plan with employer match
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Skills, education and keywords
Skills: Python, R, SQL, Relational Databases, Machine Learning, Statistical Techniques, Regression, Decision Trees, Classification, Causal Inference.
Education: BA/BS or equivalent experience.
Frequently asked questions about senior manager, Data Science at Starbucks
What does a senior manager, Data Science at Starbucks do?expand_more
A senior manager, Data Science at Starbucks is responsible for the following: Lead and develop a high-performing team of data scientists and analysts; Drive end-to-end data science delivery from problem framing to operationalization; Set and scale best practices for coding, version control, and data security; and Ensure machine learning solutions are scalable, measurable, and integrated into workflows.
What are the requirements for this senior manager, Data Science role?expand_more
To qualify for the senior manager, Data Science at Starbucks position, applicants should have: BA/BS degree or equivalent experience; 5-7+ years of experience in data science, analytics, or related field; Proficiency with Python or R, SQL, and relational databases; Working knowledge of machine learning/statistical techniques; Experience with cloud data/analytics solutions (e.g., Azure or AWS); and Experience managing and coaching a team.
Where is the senior manager, Data Science role at Starbucks located?expand_more
senior manager, Data Science at Starbucks is based in Stockyard Boulevard, Downtown Nashville, Nashville, Davidson County, Middle Tennessee, Tennessee, 37219, United States. This is a on-site role.
Is this senior manager, Data Science job remote, hybrid, or on-site?expand_more
Starbucks has listed this senior manager, Data Science role as on-site.
How much experience is required for this senior manager, Data Science role?expand_more
senior manager, Data Science at Starbucks typically requires 5+ years of relevant experience at the senior level.
What skills do you need for the senior manager, Data Science role at Starbucks?expand_more
Key skills for senior manager, Data Science at Starbucks include Python; R; SQL; Relational Databases; Machine Learning; Statistical Techniques; Regression; and Decision Trees.
What education is required for senior manager, Data Science at Starbucks?expand_more
Educational requirements for this role: BA/BS or equivalent experience.
What category does the senior manager, Data Science role belong to?expand_more
senior manager, Data Science at Starbucks is part of the it job category on Recrutus.