Senior Data Scientist Engineer

Bridgestone Corporation - Akron, OH

Part-time - Mid Level

Akron, OH

Plastics and Rubber Products Manufacturing

About the position

The Senior Data Science Engineer at Bridgestone is responsible for driving the digital transformation of product development through the design and management of ETL jobs, data pipelines, and engineering data models. This role focuses on transforming complex legacy data into a structured PLM data model, enabling effective data-driven product lifecycle management. The position requires collaboration across teams to create optimized data structures for analytics and Master Data Management, ensuring data quality and integration with existing systems.

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.

Requirements

• 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.

Nice-to-haves

• Bachelor's or Master's 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.

Benefits

• Formal training
• Competitive performance incentives
• Paid vacation and holidays
• Healthcare packages for full-time and part-time employees
• 401k plan