Lead Data Scientist

Job not on LinkedIn

🕒 May 27

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Hexion Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚀 Aerospace

Chemical • Aerospace • Construction

Hexion Inc. is a global leader in resin technologies and chemical solutions. The company specializes in producing specialty chemicals and materials that are utilized across various industries, including construction, automotive, and aerospace. Hexion's commitment to innovation and sustainability positions it as a significant player in the chemical manufacturing sector.

📋 Description

• 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.