Material Scientist - Data Science

Americas Technology Center, United States

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Company Overview

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.

Job CategoryEngineering & Science

Position SummaryA 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.

Responsibilities
  • 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 bachelor’s degree; or 3 years and a master’s 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.

Minimum Qualifications

Typically requires a minimum of 5 years of related experience with a bachelor’s degree; or 3 years and a master’s degree; or a PhD without experience; or equivalent work experience

#LI-JB1

At Bridgestone, you are Free to Be

We believe people can only provide superior service and quality to others when they bring their whole self to work. We believe in championing all perspectives, individuals and teams because we understand the importance of seeing the world and our business through many different lenses. We are building a team as diverse as the world we serve. So, show us what you are made of, because who you are is what we need.

What we offer

At Bridgestone, what really matters is to foster co-creation opportunities and empowering you to be creative and curious to make mobility safer, more efficient, and more sustainable for future generations. Whatever role you fill, when you represent Bridgestone, you are a valued teammate, and part of our larger mission to “Serve Society with Superior Quality”, for that, we offer you more than just a competitive compensation; we will provide you:

  • A supportive and engaging onboarding experience to ensure a smooth transition into our team.
  • The opportunity to develop and grow, through training and regular mentorship.
  • Corporate Social Responsibility activities.
  • A truly global, dynamic and challenging work environment.
  • Agility and work/life effectiveness and your long-term well-being.
  • A diverse and inclusive team.

Bridgestone is proud to be an Equal Employment Opportunity employer. It is our policy to consider for employment all individuals regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, gender, sex, sexual orientation, gender identity and/or expression, genetic information, veteran status, or any other characteristic protected by federal, state or local law.

Employment Eligibility

If hired, a Form I-9 Employment Eligibility Verification must be completed at the start of employment. Temporary work authorization or the need for sponsorship may disqualify you from employment.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Architecture Chemistry Computer Science Data management Data Mining Engineering Generative AI Git Machine Learning Mathematics Matlab PhD Physics Predictive modeling Python R SQL Statistics

Perks/benefits: Career development Competitive pay Startup environment Team events

Regions: North America South America
Country: United States