Lead data scientist, Staffing Algorithms

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 under utilization 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.

• 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

• 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% 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…