lead data scientist, Staffing Algorithms (Nashville, TN)
Core
Lead the development of advanced forecasting models and optimization algorithms to shape staffing decisions and optimize labor allocation across US and Canada company-owned stores.
Role type
Staff-level lead data scientist (workforce optimization)
Builds
Scalable, data-driven staffing framework and optimization algorithms
Domain
Retail operations + workforce planning
Deliverable
production ML models
Required skills
Machine learning, statistical techniques (regression, classification, clustering, causal inference), Python, SQL, cloud-based analytics platforms (Databricks, Azure), production-grade data pipelines, data storytelling, mentoring
Preferred skills
Time series forecasting, optimization techniques (linear programming, mixed-integer programming, heuristics), PySpark
Responsibilities
Design and architect the future staffing ecosystem, drive labor optimization strategies, mentor and develop talent
Seniority
Staff, hands-on IC with mentorship
