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. 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 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 View email address on click.appcast.io or View phone number on click.appcast.io. Starbucks