Senior Data Scientist, AI & Product Development

Lubrizol; Wickliffe (OH); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Bonus plans

401(k) match

Medical, dental & vision coverage

Health Savings Account (HSA)

Paid holidays & vacation

Flexible work environment

Learning & development

Career growth

Community engagement

Job summary

Lubrizol in Wickliffe, OH is seeking a Senior Data Scientist to advance AI-enabled engine oil product development by turning data into predictive models, enabling virtual testing, and delivering actionable insights for development and industry standards.

You will work with OEMs, customers, laboratories, and cross-functional teams to scale AI-driven capabilities, mentor junior scientists, and contribute to model lifecycle management across Q.LIFE and related platforms.

Qualifications

• Master’s degree or Ph.D. in a related technical discipline (e.g., Statistics, Data Science, Operations Research, Computer Science, Applied Mathematics).
• 8–10 years of experience applying statistics, machine learning, data science, or advanced analytics to solve complex technical and business challenges.
• Proven expertise developing, validating, deploying, and improving predictive and prescriptive analytical models.
• Strong communication, stakeholder management, and influencing skills across scientific, technical, business, and executive audiences.
• Ability to work independently on complex problems and mentor less-experienced team members.
• Strong motivation to innovate and deliver data-driven solutions with meaningful business impact.

Responsibilities

• Act as Lubrizol’s senior data science representative across the automotive industry, partnering with OEMs, customers, laboratories, and industry organizations.
• Advance industry standards, testing practices, and performance methodologies using data-driven insights and advanced analytics.
• Develop, deploy, and continuously improve predictive models using statistics, ML, and AI.
• Lead analytics that support product development, formulation optimization, testing strategies, and industry advocacy.
• Translate complex technical and business challenges into high-impact data science initiatives aligned to strategic objectives.
• Collaborate with modeling and cheminformatics experts to improve model performance and business value.
• Present technical findings and publish research that supports Lubrizol’s leadership in engine oil modeling and AI-enabled innovation.
• Support evolution of Q.LIFE and related predictive capabilities into modern enterprise AI platforms.
• Contribute to model lifecycle management, including data engineering, deployment strategies, and continuous improvement of production analytics solutions.
• Partner with IT, Digital, Product Development, and Decision Science teams to scale AI-driven capabilities across the organization.
• Bridge disciplines to transform business challenges into actionable analytics solutions.
• Identify where advanced analytics can deliver measurable business value.
• Communicate complex technical concepts clearly to technical, business, and executive audiences to influence decisions through data-driven insights.
• Mentor data scientists and promote best practices in modeling and analytics.

Skills

Statistics

Machine Learning

Data Science

Advanced Analytics

Education

Master’s degree or Ph.D.

Tools

Q.LIFE

Cheminformatics

Job description

At Lubrizol in Wickliffe, OH (onsite), you will help shape engine oil technology by turning data into predictive models, enabling virtual testing, and communicating actionable insights for product development and industry standards. In this Senior Data Scientist, AI & Product Development role, you will work closely with technical experts, customers, OEMs, and cross-functional teams to advance AI-enabled product development and deliver measurable business impact across Lubrizol’s Engine Oils portfolio.

What you’ll deliver

• Act as Lubrizol’s senior data science representative across the automotive industry, partnering with OEMs, customers, laboratories, and industry organizations.
• Advance industry standards, testing practices, and performance methodologies using data-driven insights and advanced analytics.
• Develop, deploy, and continuously improve predictive models using statistics, machine learning, and artificial intelligence.
• Lead advanced analytics that support product development, formulation optimization, testing strategies, and industry advocacy.
• Translate complex technical and business challenges into high-impact data science initiatives aligned to strategic objectives.
• Collaborate with computational modeling and cheminformatics experts to improve model performance, interpretability, and business value.
• Present technical findings and publish research that supports Lubrizol’s leadership in engine oil modeling, virtual testing, and AI-enabled innovation.
• Support the evolution of Q.LIFE and related predictive and optimization capabilities into modern enterprise AI platforms.
• Contribute to model lifecycle management, including data engineering, deployment strategies, and continuous improvement of production analytics solutions.
• Partner with IT, Digital, Product Development, and Decision Science teams to scale AI-driven capabilities across the organization.
• Bridge Decision Science, Product Development, Marketing, Technology, and Business teams to transform business challenges into actionable analytics solutions.
• Identify where advanced analytics, machine learning, and artificial intelligence can deliver measurable business value.
• Communicate complex technical concepts clearly to technical, business, and executive audiences to influence decisions through data-driven insights.
• Mentor data scientists and technical professionals while promoting best practices in modeling and analytics.

What you bring

• Master’s degree or Ph.D. in a related technical discipline (e.g., Statistics, Data Science, Operations Research, Computer Science, Applied Mathematics).
• 8-10 years of experience applying statistics, machine learning, data science, or advanced analytics to solve complex technical and business challenges.
• Proven expertise developing, validating, deploying, and improving predictive and prescriptive analytical models.
• Strong communication, stakeholder management, and influencing skills across scientific, technical, business, and executive audiences.
• Ability to work independently on complex problems and mentor less-experienced team members.
• Strong motivation to innovate and deliver data-driven solutions with meaningful business impact.

Tools and technologies

• Q.LIFE
• Cheminformatics

Benefits and work culture

Lubrizol offers competitive compensation and support for long-term growth, along with a flexible work environment and an inclusive culture with vibrant community engagement.

• Competitive salary with performance-based bonus plans
• 401(k) match + Age-Weighted Defined Contribution
• Comprehensive medical, dental & vision coverage
• Health Savings Account (HSA)
• Paid holidays, vacation, and parental leave
• Flexible work environment
• Learning and development opportunities
• Career and professional growth
• Inclusive culture and vibrant community engagement

Preferred background

• Background in Chemistry, Materials Science, Chemical Engineering, Computer Science, or a related scientific field.
• Experience with lubricant chemistry, automotive testing protocols, industry specifications, and performance evaluation methodologies.
• Experience supporting AI-enabled product development, materials discovery, or digital innovation initiatives.
• Experience operationalizing analytical models used for business-critical decision-making.
• Knowledge of cloud-based analytics platforms, data engineering practices, and enterprise AI ecosystems.
• Experience leading digital transformation, AI, machine learning, or advanced analytics deployments within industrial environments.
• Experience developing standardized test methods, performance models, or technical evaluation frameworks.

Your work environment

• Standing, walking, or operating equipment for extended periods
• Working in a lab or manufacturing setting with appropriate PPE provided
• Use of computers and digital tools in an office or hybrid environment
• Occasional lifting or movement of materials
• Adherence to rigorous safety protocols and ergonomic standards

Job segments: Computer Science, Research Scientist, Chemical Research, Chemistry, Chemical Engineer, Science, Technology, Engineering