Lead Data Scientist
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Job Description
Lead Data Scientist driving data science and machine learning initiatives supporting supply chain at Hexion. Collaborate with technical teams to optimize decision-making through advanced analytics.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- 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.
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