Lead Data Scientist

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🕒 Maio 27

🏈 Ohio – Remoto

🏈 Ohio – Remote

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Hexion Inc.

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🚀 Aeroespacial

Chemical • Aerospace • Construction

A Hexion Inc. é líder global em tecnologias de resinas e soluções químicas. A empresa é especializada na produção de produtos químicos e materiais especiais utilizados em diversas indústrias, incluindo construção, automotiva e aeroespacial. O compromisso da Hexion com a inovação e a sustentabilidade a posiciona como um jogador significativo no setor de fabricação química.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.