Supply Chain Data Scientist
Core
Designing and deploying advanced analytics and AI-driven solutions to enhance visibility, decision-making, and operational efficiency across Supply Chain Planning and Operations.
Role type
Senior IC data scientist (supply chain analytics & GenAI)
Builds
Scalable intelligence products, predictive models for demand/risk/lifecycle, and AI-powered copilots/RAG systems for business processes.
Domain
Supply chain planning and operations (SCPO)
Deliverable
production ML models | product features
Required skills
Predictive modelling, statistical analysis, optimization, time series analysis, feature engineering, model validation, RAG systems, AI copilots, agent-based workflows, prompt engineering, LLM orchestration, Python, SQL, Databricks, PySpark, vector databases, Power BI, Tableau
Preferred skills
Master's degree in Statistics/Operations Research/CS/AI, 2-3 years experience, classical data science methodologies
Technologies
Python, Pandas, Scikit-learn, SQL, Databricks, PySpark, LangChain, LangGraph
Responsibilities
Define analytic objectives and business rules; design and develop advanced analytics models; build and validate predictive models; research ML/AI solutions; create visualizations for insights consumption.
Seniority
Intermediate level, hands-on IC
