lead data scientist, Staffing Algorithms (Nashville, TN)

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.