Top 8 data scientist lead Jobs in columbus

Lead Data Scientist - US Remote
Hexion Inc. —Columbus, OH
- Remote
- 18 years or older
- Computer Science
- 5 years
9d
Lead AI and Data Science Engineer - Manager
Deloitte —Columbus, OH
- $141,200 - $278,300 a year
- Full-time
- Azure
- Computer Science
- 5 years
8d
Lead AI Engineer
Gifthealth Inc —Columbus, OH
- $152,000 - $190,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- System design
Quick Apply
7d
GenAI Lead Data Scientist
Huntington Bank —Columbus, OH
- Full-time
- Computer Science
- 5 years
- Office
Marketing Data & Agentic AI Transformation Lead
JPMorganChase —Columbus, OH
- Full-time
- Azure
- 5 years
- Research
- Health insurance
- Tuition reimbursement
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Path Robotics —Columbus, OH
- Remote
- Computer science
- Computer Science
- 5 years
- Paid parental leave
- Health insurance
Quick Apply
Lead Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
- Full-time
- 7 years
- Azure
- Management
- Loan repayment program
- Disability insurance
Quick Apply
Forward-Deployed AI Solutions Lead
The Scotts Miracle-Gro Company —Marysville, OH
- $140,000 - $164,700 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Health insurance
- Dental insurance

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Lead Data Scientist - US Remote
Hexion Inc. —Columbus, OH
Design, develop, and own advanced ML solutions — including predictive models, time-series forecasting, optimization, and decision-support systems — scoped to…
9d
Lead AI and Data Science Engineer - Manager
Deloitte —Columbus, OH
This role blends hands-on technical leadership with delivery management and team development, driving consistent engineering standards and measurable outcomes…
$141,200 - $278,300 a year
8d

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Lead Data Scientist - US Remote

Hexion Inc. -
Columbus, OH

Apply Now

Job Details

9 days ago

Qualifications

AI models
Databricks
Predictive modeling analysis
Spark
System design
AI platforms (beyond public GPTs)
Computational framework
SQL
System design for system development
Machine intelligence
Supply chain management solutions (enterprise solutions)
Data-driven problem-solving
Machine learning frameworks
Manufacturing company experience
Project stakeholder communication
Python
Design (software development lifecycle)
Stakeholder relationship building
Cross-functional communication
Stakeholder management

Full Job Description

Company Overview

Imagine Everything. Build the Future with Hexion.

At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.

This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.

We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.

We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.

Your Future Starts Here.

If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.

Anything is possible when you imagine everything.

Job 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 — scoped to supply chain and manufacturing use cases.
Build, train, evaluate, and interpret machine learning models (regression, classification, clustering, forecasting) to quantify supply chain drivers, surface optimization opportunities, and improve operational outcomes.
Develop and operationalize analytics and ML solutions using Databricks (Python / SQL / PySpark) for large-scale data processing, model development, and experimentation.
Design 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/LangGraph.
Implement and extend solutions using the MCP to enable AI agents to access and act on enterprise data systems in supply chain and manufacturing contexts.
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 to translate ambiguous business problems into structured ML and AI approaches.
Develop and maintain self-service, automated, and AI-enabled analytics workflows that reduce manual effort and improve decision latency.
Leverage Azure AI Foundry, Microsoft Copilot Studio, and Microsoft 365 Copilot extensibility to prototype and deploy AI-powered analytics and agent-based decision-support tools.
Produce executive-ready insights through clear storytelling, visualizations, and recommendations using Power BI or embedded analytics.
Set technical direction, establish reusable ML and AI frameworks, and mentor junior and mid-level data scientists across the team.
Ensure high standards of data quality, governance, model validation, and explainability.

Minimum Qualifications

Education & Experience (one of the following):

Master’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, OR
Bachelor’s degree in the same or related fields with 8+ years of relevant data science / analytics experience.

Technical:

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 — development, interpretation, and operational business application.
Strong 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 modules.
Hands-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 coordination.
Compulsory — 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 audiences.
Strong stakeholder management and cross-functional collaboration skills.

Preferred Qualifications

Experience operationalizing ML models into production in supply chain or manufacturing environments.
Familiarity with SAP ECC / S/4HANA supply chain and manufacturing modules (MM, PP, PM, SD).
Strong Power BI experience — semantic modeling, performance optimization, executive dashboard design.
Exposure 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 chain.
Familiarity with Palantir Foundry (pipelines, ontology, Workshop, AIP).
Proven experience mentoring data scientists or leading end-to-end analytics initiatives.
Familiarity with cloud-native data architectures and governed data platforms.

Other

We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive 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.

To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

Apply Now

Refine Your Search

data scientist lead jobs in columbus

Lead Data Scientist - US Remote

Lead AI and Data Science Engineer - Manager

Lead AI Engineer

GenAI Lead Data Scientist

Marketing Data & Agentic AI Transformation Lead

Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation

Lead Machine Learning / Data Science Engineer

Forward-Deployed AI Solutions Lead

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