Bridgestone Corporation
Senior Materials Scientist - Data SciencePosted
22 weeks 3 days ago
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Job Description
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Company Overview
Wherever you work and whatever role you fill, when you represent the Bridgestone name you know that you are a valued teammate who is part of our larger mission to "Serve Society with Superior Quality." We start by offering each teammate more than just a salary. We provide formal training, competitive performance incentives, paid vacation and holidays, healthcare packages for full-time and part-time employees, and a 401k plan to help build your future.
We believe people can only provide superior service and quality to others when they are allowed to bring their whole selves to work and know they are supported. 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're made of. Show us the smart stuff, the tough stuff, the bold, beautiful and brave stuff. Because who you are is what we need.
Bridgestone Americas, Inc. is headquartered in Nashville, Tennessee and is the U.S. subsidiary of Bridgestone Corporation headquartered in Japan. Bridgestone Americas and its subsidiaries develop, manufacture and market a wide range of Bridgestone, Firestone and associate brand products to address the needs of a broad range of customers and industries.
Job Category
Engineering & Science
Position Summary
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. A senior Professional position applies advanced knowledge of a job area typically obtained through advanced education and work experience. Problems faced are difficult and sometimes complex.
Responsibilities
The successful candidate will be responsible for:
* 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 materials performance focused predictive models.
* The establishment of "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 and data science.
* Significant proficiency in the 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
* 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.
* Proficiency with version control and software deployment.
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
Bridgestone is proud to be an Equal Employment Opportunity / Affirmative Action 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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