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senior manager, Data Science (Nashville, TN)

Job Overview

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Employment Type

Full-time
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Compensation

Salary
Range $146,400.00 - $244,300.00
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Work Schedule

Standard Hours
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Benefits

Medical insurance
Dental Insurance
Vision Insurance
Basic and supplemental life insurance
short-term disability
long-term disability
Paid parental leave
family expansion reimbursement
paid vacation from date of hire
Sick Time
Paid holidays
Personal Days
401(k) retirement plan with employer match
Discounted company stock program
Starbucks equity program
Incentivized emergency savings
Financial well-being tools
100% tuition coverage for a first-time bachelor’s degree
student loan management resources
backup care
DACA reimbursement

Job Description

Starbucks Coffee Company is one of the most recognized and beloved global coffeehouse chains, known not only for its high-quality coffee but also for fostering a unique culture of connection, community, and leadership development. Founded with a mission to inspire and nurture the human spirit, Starbucks has grown into a major player in the retail and hospitality industry, serving millions of customers worldwide. The company prides itself on creating extraordinary leaders who are passionate about service and innovation, continuously pushing the boundaries of what a coffee company can offer.

This role is for a Data Science Manager within Starbucks, a critical leadership position that blends technical expertise with team management and strategic insight. As a Data Science Manager, you will lead a talented group of data scientists, decision scientists, and analysts dedicated to using advanced analytics and machine learning to solve complex business challenges. Your leadership will be instrumental in driving actionable insights that improve operational efficiency, customer experience, and overall business performance. The position is a full-time role offering a competitive salary, designed to attract candidates who are not only skilled in data science but who also thrive in a collaborative, innovative environment.

In this position, you will be responsible for coaching and developing your team’s technical skills and career paths, ensuring the delivery of scalable and measurable insights, and fostering the adoption of machine learning models into Starbucks’ business workflows. You will play a pivotal role in setting standards and best practices across coding, version control, data security, and analytics engineering to support high-quality, repeatable, and efficient work.

This role requires someone who can drive full-cycle data science projects from problem identification and data preparation to model development, performance evaluation, and production deployment. You will collaborate closely with cross-functional teams to remove roadblocks and align efforts toward delivering robust data science solutions that impact Starbucks’ business areas.

Starbucks deeply values creating a supportive workplace where continuous learning, strong execution, and collaboration thrive. Your leadership will contribute to building a culture that encourages innovation, accountability, and professional growth among your team members. Beyond technical acumen, strong communication skills and attention to detail are essential to succeed in this managerial role.

The company also offers an extensive benefits package that supports partners (employees) and their families, including medical, dental, and vision insurance, paid time off from day one, parental leave, retirement plans with employer match, educational opportunities through the Starbucks College Achievement Plan, and many other perks. Starbucks demonstrates a commitment to diversity, equity, and inclusion, ensuring equal employment opportunities for all qualified applicants.

Overall, the Data Science Manager role at Starbucks offers a compelling opportunity to join a world-class company that values leadership, innovation, and community impact. If you are passionate about applying data science to real-world business problems and leading a dynamic team in a fast-paced setting, this role is an excellent fit. Join Starbucks in inspiring not only with coffee but with every data-driven decision you help make to elevate the company’s mission and customer experience.

Job 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 such as regression, decision trees, classification, causal inference, clustering
  • experience with cloud data/analytics solutions such as Azure or AWS
  • experience managing and coaching a team with strong written/verbal communication skills and attention to detail

Job Qualifications

  • BA/BS or equivalent experience
  • proficiency with Python or R, SQL, and relational databases
  • working knowledge of machine learning/statistical techniques such as regression, decision trees, classification, causal inference, clustering
  • experience with cloud data/analytics solutions such as Azure or AWS
  • experience managing and coaching a team with strong written/verbal communication skills
  • MS in a quantitative field or equivalent advanced experience preferred
  • 8+ years managing a small team and developing technical talent preferred
  • experience with production ML practices and distributed processing platforms preferred
  • experience with hyperparameter tuning and ongoing model performance monitoring preferred

Job Duties

  • 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
  • Remove roadblocks and align cross-functional partners to ensure successful project execution
  • Ensure insights and machine learning solutions are scalable, measurable, and adopted into business workflows
  • Foster continuous learning and innovation within the team
  • Communicate complex technical concepts effectively to stakeholders

Job Criteria

Experience

Mid Level (3-7 years)


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