Data Scientist
Core
Data-driven solutions for dealer aftermarket parts inventory management within the PIC system.
Role type
Data Scientist (Supply Chain/Logistics)
Builds
Production processes, business intelligence reporting, data architecture, predictive modeling, and analytical tools for parts inventory planning.
Domain
Manufacturing / Supply Chain / Logistics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Statistical analysis, Machine Learning, Python, SQL, Power BI, Dataiku, Simulation, Requirements Analysis
Preferred skills
Generative AI, Forecasting, Demand Planning, Inventory Planning, Snowflake
Technologies
Power BI, Dataiku, Python, SAS, SQL, Snowflake, Simulation tools
Responsibilities
Own and improve critical production processes and analytical solutions for parts inventory planning; Develop and maintain Power BI reports, dashboards, and data visualizations; Conduct project-based research, simulations, predictive modeling, and advanced analytics; Respond to ad hoc analytical requests from business and technical stakeholders; Support data architecture maintenance and continuous improvement efforts; Evaluate opportunities to leverage emerging technologies like generative AI.
Seniority
Mid-Senior, hands-on IC