[Remote] Lead Data Scientist - US Remote

Note: The job is a remote job and is open to candidates in USA. Hexion Inc. is a company focused on innovation and sustainability, aiming to create impactful solutions across various industries. They are seeking a Lead Data Scientist to lead complex data science and machine learning initiatives, particularly in supply chain and manufacturing operations, while developing advanced ML solutions and collaborating with cross-functional teams.ResponsibilitiesLead complex data science and machine learning initiatives supporting supply chain, manufacturing operations, capacity planning, demand forecasting, and operational decision-makingDesign, develop, and own advanced ML solutions — including predictive models, time-series forecasting, optimization, and decision-support systems — scoped to supply chain and manufacturing use casesBuild, train, evaluate, and interpret machine learning models (regression, classification, clustering, forecasting) to quantify supply chain drivers, surface optimization opportunities, and improve operational outcomesDevelop and operationalize analytics and ML solutions using Databricks (Python / SQL / PySpark) for large-scale data processing, model development, and experimentationDesign and build multi-agent AI systems — including orchestrator-executor architectures, tool-calling agents, and RAG-based decision support — using frameworks such as Azure AI Foundry, AutoGen, Semantic Kernel, or LangChain/LangGraphImplement and extend solutions using the MCP to enable AI agents to access and act on enterprise data systems in supply chain and manufacturing contextsApply data science best practices including feature engineering, model validation, performance monitoring, reproducibility, and documentationPartner with Supply Chain & Procurement leadership, Manufacturing Ops, Process Engineering, Demand Planning, and IT to translate ambiguous business problems into structured ML and AI approachesDevelop and maintain self-service, automated, and AI-enabled analytics workflows that reduce manual effort and improve decision latencyLeverage Azure AI Foundry, Microsoft Copilot Studio, and Microsoft 365 Copilot extensibility to prototype and deploy AI-powered analytics and agent-based decision-support toolsProduce executive-ready insights through clear storytelling, visualizations, and recommendations using Power BI or embedded analyticsSet technical direction, establish reusable ML and AI frameworks, and mentor junior and mid-level data scientists across the teamEnsure high standards of data quality, governance, model validation, and explainabilitySkillsMaster's degree in Statistics, Mathematics, Industrial Engineering, Data Science, Computer Science, Engineering, or a related quantitative field with 5+ years of relevant data science/analytics experience, ORBachelor's degree in the same or related fields with 8+ years of relevant data science / analytics experienceDemonstrated track record delivering advanced ML and data science solutions in supply chain, manufacturing, or industrial domainsStrong hands-on experience with machine learning and statistical modeling — development, interpretation, and operational business applicationStrong proficiency in Databricks (Python, SQL, PySpark, Delta Lake)Hands-on experience with the MCP — building or consuming MCP servers/clients to connect AI agents to enterprise data systems, APIs, or ERP modulesHands-on experience with multi-agent system design — architecting multi-agent systems using AutoGen, Semantic Kernel, LangChain/LangGraph, or Azure AI Agent Service; orchestrator-executor patterns, tool calling, memory management, and agent coordinationCompulsory — must have hands-on experience with one or more of the following: Azure AI Foundry, Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, Microsoft Power Platform (Power Automate, Power BI)Ability to translate complex business problems into ML / AI solutions and communicate findings to both technical and executive audiencesStrong stakeholder management and cross-functional collaboration skillsExperience operationalizing ML models into production in supply chain or manufacturing environmentsFamiliarity with SAP ECC / S/4HANA supply chain and manufacturing modules (MM, PP, PM, SD)Strong Power BI experience — semantic modeling, performance optimization, executive dashboard designExposure to MLOps on Azure (Azure ML, MLflow, Databricks Asset Bundles, CI/CD for analytics artifacts)Experience designing operational KPI frameworks (MAPE, OTIF, service level, OEE, downtime)Experience with statistical / simulation methods (Monte Carlo, scenario analysis, sensitivity analysis) applied to operations and supply chainFamiliarity with Palantir Foundry (pipelines, ontology, Workshop, AIP)Proven experience mentoring data scientists or leading end-to-end analytics initiativesFamiliarity with cloud-native data architectures and governed data platformsCompany OverviewBased in Columbus, Ohio, Hexion Inc. is a leading global producer of adhesives and performance materials. It was founded in undefined, and is headquartered in Columbus, Ohio, USA, with a workforce of 1001-5000 employees. Its website is https://www.hexion.com/.Company H1B SponsorshipHexion Inc. has a track record of offering H1B sponsorships, with 3 in 2025, 4 in 2024, 3 in 2023, 6 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.