Senior Data Scientist 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 seek a Senior Data Science Engineer to drive our Product Development digital transformation. Youll design and manage ETL jobs, and data pipelines, and create engineering data models. Collaborating across teams, youll create optimized data structures for analytics and Master Data Management. Your role is crucial in transforming complex legacy data into the PLM data model, enabling data-driven product lifecycle management.

Responsibilities

Responsibilities:

Design and implement ETL processes to transform legacy data into the engineering data model.

Develop and optimize data models for PLM applications, supporting digital transformation in product development.

Create data structures and pipelines to enable analytics and reporting for product lifecycle management.

Ensure data quality and integration between legacy systems and the PLM platform.

Optimize query performance and data retrieval processes.

Collaborate with cross-functional teams to align data models with business needs and PLM requirements.

Expected Areas of Competence

Expertise in ETL processes and data pipeline development, particularly for transforming legacy data.

Understanding of Product Lifecycle Management principles and practices

Advanced SQL skills and experience with both relational and NoSQL databases

Knowledge of data modeling techniques, especially in the context of engineering data

Experience with data quality management and data integration across multiple systems.

Familiarity with analytics and reporting tools relevant to product development processes.

Preferred Qualifications:

Bachelors or Masters degree in Computer Science or related field, or 5 years of experience in data engineering, focusing on PLM systems

Proven expertise in ETL processes, data modeling, and particularly for transforming legacy data in product lifecycle management contexts.

Strong proficiency in SQL, experience with both relational and NoSQL databases, and knowledge of data quality management and integration across multiple systems

Familiarity with analytics, reporting tools, and Agile methodologies relevant to product development processes and digital transformation initiatives.

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 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.