Material Scientist - Data Science

Bridgestone Americas, Inc. (BSAM), headquartered in Nashville, Tennessee, and Bridgestone Europe, Middle East and Africa (BSEMEA), headquartered in Brussels, Belgium, operate collectively as a Bridgestone West strategic region. This region services the strategic business needs of teams across the Americas, Europe, Middle East and Africa. BSAM and BSEMEA are subsidiaries of Bridgestone Corporation, globally headquartered in Japan. Bridgestone and its subsidiaries develop, manufacture and market a wide range of Bridgestone, Firestone and associate brand products and solutions to address the needs of a broad range of customers and industries.

A highly motivated engineer/scientist is needed to identify and develop new material data science and data-driven technologies that address current and future business needs at the Bridgestone Americas Technology Center based in Akron, Ohio.

• Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to build data driven models for the engineering value chain and inform business decisions.

• Developing digital tools to facilitate application of data and fundamental mechanisms for material development.

• Contributing to the creation of data mining architectures/models/protocols, statistical analysis, machine learning, and deterministic fundamental models as primary analysis methodologies to build performance focused predictive models.

• The establishment of a digital first material design workflow for product innovation, utilizing predictive modeling and advanced physicochemical analytical data to improve and expedite polymer and compound development.

• Scientific programming support for lab automation workflows.

Required qualifications

The candidate must have a background in data science, applied mathematics, computer science, physics, materials science, engineering, or chemistry.

Demonstrated expertise in computational methods, data science, and statistical analysis of experimental data.

Significant proficiency in scientific/technical programming, including languages like Python, R, SQL, and MATLAB.

Track record of successfully using/developing data management and visualization tools.

Automation of computational tasks and demonstrated knowledge on how to scale these up.

Strong interpersonal skills and the ability to work in teams.

Exceptional communication and technical documentation skills.

Preferred qualifications

Proficiency with version control software like Git and software deployment best practices.

Demonstrated experience in chemometrics, QSPR/QSAR, material informatics, cheminformatics, or similar technologies.

Hands-on experience in chemical structure-property relationship development.

Demonstrated ability to develop stand-alone and/or web applications.

Proficient in the use of generative AI tools for software development. Familiarity with agentic workflows.

Education/Experience

Typically requires a minimum of 5 years of related experience with a bachelors degree; or 3 years and a masters degree; or a PhD in a related field; or equivalent work experience in data science, applied mathematics, computer science, physics, materials science, engineering, or chemistry.

Typically requires a minimum of 5 years of related experience with a bachelors degree; or 3 years and a masters degree; or a PhD without experience; or equivalent work experience

#LI-JB1