Business Data Scientist - SupplyChain & Operations
Core
Data Science Consultant applying data science, machine learning, and simulation to solve complex supply chain and operations problems, transforming how companies operate from inventory planning to logistics network design.
Role type
Data Science Consultant (Supply Chain & Operations Analytics)
Builds
Analytical solutions for end-to-end supply chain processes including procurement, planning, production, storage, transportation, and logistics.
Domain
Supply Chain & Operations Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Supply chain functional knowledge, root cause analysis, optimization, machine learning, segmentation, simulation, SQL, Python, Tableau, PowerBI, data visualization libraries (Matplotlib, Seaborn), end-to-end model development lifecycle
Preferred skills
Master's in Data Science/Analytics, team leadership, cloud environments (AWS, GCP, Azure), analytical solution implementation
Technologies
SQL, Python, Tableau, PowerBI, Matplotlib, Seaborn, AWS, GCP, Azure
Responsibilities
Analyze end-to-end supply chain processes to identify root causes of problems; Apply analytical techniques (optimization, ML, simulation) to resolve complex business cases; Interact with diverse stakeholders across procurement, production, and logistics; Develop and validate data models from problem understanding to deployment.
Seniority
Mid-level, hands-on IC
