Lead complex data science and machine learning initiatives supporting supply chain, manufacturing operations, capacity planning, demand forecasting, and operational decision-making
Design, develop, and own advanced ML solutions — including predictive models, time-series forecasting, optimization, and decision-support systems
Build, train, evaluate, and interpret machine learning models to quantify supply chain drivers, surface optimization opportunities, and improve operational outcomes
Develop and operationalize analytics and ML solutions using Databricks for large-scale data processing, model development, and experimentation
Design and build multi-agent AI systems using frameworks such as Azure AI Foundry, AutoGen, Semantic Kernel, or LangChain/LangGraph
Implement and extend solutions using the MCP
Apply data science best practices including feature engineering, model validation, performance monitoring, reproducibility, and documentation
Partner with Supply Chain & Procurement leadership, Manufacturing Ops, Process Engineering, Demand Planning, and IT
Develop and maintain self-service, automated, and AI-enabled analytics workflows
Leverage Azure AI Foundry, Microsoft Copilot Studio, and Microsoft 365 Copilot extensibility to prototype and deploy AI-powered analytics tools
Produce executive-ready insights through clear storytelling using Power BI or embedded analytics
Set technical direction, establish reusable ML and AI frameworks, and mentor junior and mid-level data scientists.

Master’s degree or Bachelor’s degree in Statistics, Mathematics, Industrial Engineering, Data Science, Computer Science, Engineering, or a related quantitative field
5+ years of relevant data science/analytics experience (for Master’s degree) or 8+ years (for Bachelor’s degree)
Demonstrated track record delivering advanced ML and data science solutions in supply chain, manufacturing, or industrial domains
Strong hands-on experience with machine learning and statistical modeling
Strong proficiency in Databricks (Python, SQL, PySpark, Delta Lake)
Hands-on experience with the MCP
Hands-on experience with multi-agent system design
Compulsory experience with Azure AI Foundry, Microsoft Copilot Studio, and Microsoft 365 Copilot extensibility
Ability to translate complex business problems into ML / AI solutions and communicate findings to both technical and executive audiences
Strong stakeholder management and cross-functional collaboration skills.

Equal Opportunity, Affirmative Action employer
Consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.

Lead Data Scientist

Key skills