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Senior Data Scientist, AI & Product Development

Job in Wickliffe, Lake County, Ohio, 44092, USA
Listing for: The Lubrizol Corporation
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 130000 - 190000 USD Yearly USD 130000.00 190000.00 YEAR
Job Description & How to Apply Below

Shape the Future with Us. At Lubrizol, we’re bringing to life the chemistry behind clean water, efficient transportation, reliable infrastructure, critical medicines, and the products people rely on every day through science, sustainability, and a culture of inclusion.

Shape the Future with Us. At Lubrizol, we’re bringing to life the chemistry behind clean water, efficient transportation, reliable infrastructure, critical medicines, and the products people rely on every day through science, sustainability, and a culture of inclusion. As part of our global team, you’ll be empowered to make a real impact - on your career, your community, and the world around you.

Location: Wickliffe, OH

Job Type: Full-time / On-site

How You’ll Make An Impact

As a Senior Data Scientist, AI & Product Development
, you'll play a pivotal role in shaping the future of engine oil technology through advanced analytics, machine learning, and artificial intelligence. In this highly visible role, you will accelerate innovation by developing predictive performance models, enabling virtual testing, and transforming complex technical data into insights that influence product development, customer solutions, and industry standards. Working at the intersection of science, data, and business strategy, you'll collaborate with global technical experts, customers, Original Equipment Manufacturers (OEMs), and cross-functional teams to solve challenging problems, advance AI-enabled product development, and drive meaningful business impact across Lubrizol's Engine Oils portfolio.

Int

This Role, You Will
  • Serve as Lubrizol’s senior data science representative within the automotive industry, partnering with OEMs, customers, laboratories, and industry organizations.
  • Influence industry standards, testing practices, and performance methodologies through data-driven insights and advanced analytics.
  • Present technical findings and publish research that advances Lubrizol’s leadership in engine oil modeling, virtual testing, and AI-enabled innovation.
  • Translate complex technical and business challenges into high-impact data science initiatives that support strategic objectives.
Model Development and Deployment Leadership
  • Develop, deploy, and continuously improve predictive models using statistics, machine learning, and artificial intelligence.
  • Lead advanced analytics initiatives that support product development, formulation optimization, testing strategies, and industry advocacy.
  • Partner with computational modeling and cheminformatics experts to enhance model performance, interpretability, and business value.
  • Mentor data scientists and technical professionals while promoting best practices in modeling, analytics, and data science.
Enterprise AI Enablement
  • Support the evolution of Q.LIFE® and related predictive and optimization capabilities into modern enterprise AI platforms.
  • Contribute to model lifecycle management, data engineering, deployment strategies, and continuous improvement of production analytics solutions.
  • Collaborate with Information Technology, Digital, Product Development, and Decision Science teams to scale AI-driven capabilities across the organization.
Business Translation and Organizational Alignment
  • Bridge Decision Science, Product Development, Marketing, Technology, and Business teams to transform business challenges into actionable analytics solutions.
  • Identify opportunities where advanced analytics, machine learning, and artificial intelligence can deliver measurable business value.
  • Contribute to cross-functional teams to achieve strategic priorities and department objectives.
  • Communicate complex technical concepts clearly to technical, business, and executive audiences, influencing decisions through data-driven insights.
Required…
Position Requirements
10+ Years work experience
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