lead data scientist, Staffing Algorithms (Nashville, TN)
Starbucks Nashville, Tennessee, United States
Retail · 10,001+ employees
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
Lead the design and development of scalable staffing frameworks, forecasting models, and optimization algorithms to improve labor allocation across company-owned stores in the United States and Canada. Identify staffing inefficiencies, partner with operations and finance on workforce planning, and mentor data scientists while communicating business impact.
What they look for
Requirements
Requires at least five years of progressive data science experience, including end-to-end deployment of data products and models with measurable business impact. Candidates should have strong machine learning and statistical skills, advanced Python and SQL proficiency, experience with cloud analytics platforms and production systems, strong communication and visualization skills, and mentoring experience.
Benefits
Full description
Now Brewing – Lead Data Scientist! #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 Lead Data Scientist on the Staffing Algorithms team, you will lead the development of advanced forecasting models and optimization algorithms that shape staffing decisions across US and Canada company-owned stores. You will drive the evolution of the staffing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact store operations, staffing efficiency, and customer experience at scale.
As a lead data scientist, you will…
- Design and Architect the Future Staffing Ecosystem• Build a scalable, data-driven staffing framework that optimizes labor allocation across stores.
- Incorporate predictive modeling, constraints into staffing algorithms.
- Drive Labor Optimization• Identify inefficiencies such as underutilization and overstaffing through advanced analytics.
- Implement optimization strategies leveraging machine learning, simulation, and scenario planning.
- Partner with operations and finance to align staffing models with business goals.
- Mentor and Develop Talent• Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.
- Foster a culture of innovation and continuous improvement within the analytics team.
We’d love to hear from people with:
- 5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.
- Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.
- Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.
- Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.
- Experience building in-house production systems in complex and data-rich domains.
- Mentoring experience
Preferred Skills:
- Expertise in building forecasting models for time series or operational planning
- Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support
- Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
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%25 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 starbucksbenefits.com.
*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 together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
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@starbucks.com or 1(888) 611-2258.
Similar roles
-
Data Scientist
Nava PBC Laizhou, Shandong, China · $101K–$123K/yr
-
Data Scientist II, Forward Market Solutions
Midcontinent Independent System Operator (MISO) Carmel, Indiana, United States · $90K–$115K/yr
-
Data Scientist (f/m/div.)
Bosch Group Braga, Portugal
-
Data Scientist, Mid
Booz Allen Hamilton Washington, District of Columbia, United States · $78K–$176K/yr
-
Senior Data Scientist
Reddit San Francisco, California, United States · $229K–$267K/yr
-
Data Scientist I - Windreich Department for AI & Human Health Research
Mount Sinai Health System New York, New York, United States