Lead Data Science Engineer

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

Data & Analytics

Position Summary

We are seeking a highly skilled Lead Data Science Engineer to lead data projects and processes within our organization, with a focus on Product Lifecycle Management (PLM) using the 3DX platform. The ideal candidate will have a strong background in data science, analytics, and engineering, with experience in PLM systems and data transformation. This role requires a combination of technical expertise, leadership skills, and the ability to collaborate effectively with cross-functional teams.

Responsibilities

Responsibilities:

Lead end-to-end data science projects in the PLM 3DX environment, including requirements gathering, data mining and modeling, ETL process design, and implementation of advanced analytics solutions.

Develop and optimize data models and structures for PLM applications, ensuring seamless integration between legacy systems and the 3DX platform while maintaining data quality and performance.

Spearhead Master Data Management strategies and continuous improvement initiatives to support digital transformation in product development.

Collaborate with cross-functional teams to align data models with business needs, conduct scientific research to advance data analytics capabilities, and communicate insights to stakeholders.

Expected Areas of Competence

Advanced expertise in data science and engineering, including statistical analysis, machine learning, data modeling, and ETL processes, with proficiency in programming languages such as Python, R, or SQL.

In-depth knowledge of PLM systems (particularly 3DX) and product development processes, coupled with experience in big data technologies and cloud computing platforms.

Strong understanding of data governance, master data management principles, and ability to translate business requirements into technical solutions.

Excellent project management, problem-solving, and analytical skills, with proven ability to lead complex data initiatives.

Preferred Qualifications:

Advanced degree in Data Science, Computer Science, or related field, with 5 years of experience in data science roles, including 2 years working with PLM systems (preferably 3DX).

Proven track record of leading complex data projects and driving digital transformation initiatives in manufacturing or engineering industries.

Excellent problem-solving skills with the ability to translate complex business requirements into technical solutions, coupled with strong communication skills for cross-functional collaboration.

Minimum Qualifications

Typically requires a minimum of 8 years of related experience with a bachelor’s degree; or 6 years and a master’s degree; or a PhD with 3 years of 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.