Senior Data Scientist – Supply Chain Operations
Core
Design and build end-to-end data science and optimization solutions to solve complex warehouse and distribution center challenges, including labor planning, flow optimization, and predictive maintenance.
Role type
Senior hands-on IC data scientist (supply chain/industrial engineering)
Builds
Production-grade ML models, optimization engines, simulation frameworks, and pipelines for warehouse operations
Domain
Healthcare supply chain, warehousing, industrial engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Databricks, Snowflake, end-to-end model lifecycle management, industrial engineering concepts, capacity planning, queueing theory, simulation, statistical modeling, LP/MILP, heuristics, time-series forecasting, anomaly detection, WMS/LMS/TMS/ERP integration
Preferred skills
AI agents, real-time decision systems, executive-level communication, direct warehouse/DC problem solving experience
Technologies
Databricks, Snowflake
Responsibilities
Design and build data science solutions for labor planning, productivity analytics, wave batching, flow optimization, and predictive maintenance; Develop models influencing operational decisions; Partner with operators to embed models into workflows; Translate operational problems into mathematical models and simulations; Own full model lifecycle from development to monitoring; Extend solutions across supply chain domains
Seniority
Senior, hands-on IC
