senior manager, Data Science (Nashville, TN)

Starbucks•Nashville, TN

3d•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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)

Responsibilities

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.

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