Since 1965, Stoneridge has designed and manufactured advanced, award-winning technologies including driveline and transmission actuation systems, vision systems, emissions control systems, safety systems, and security and monitoring systems for vehicle OEMs in the commercial vehicle, automotive, off-highway and agricultural vehicle markets. We’re focused on the areas of greatest market need – both today and tomorrow. Our core products and technologies are aligned with industry megatrends including safety and security, vehicle intelligence, fuel efficiency and emissions. Join the Stoneridge Team as we continue to build upon our strong history and reputation for quality products to deliver innovative products and systems that address a need, exceed our customers’ expectations, and motivate our team.

JOB SUMMARY:

Stoneridge Advanced Engineering team is looking for a talented and motivated Data Scientist to enhance our capabilities in understanding and utilizing our data across the entire engineering division. This role will not only focus on vision AI but also on broader applications of data science and AI to solve diverse problems within the company. The ideal candidate will play a crucial role in developing and implementing data-driven solutions to optimize our operations and drive business growth.

PRINCIPLE RESPONSIBILITIES:

• Analyze and interpret complex datasets to identify patterns, trends, and insights.
• Develop and implement predictive models and machine learning algorithms to solve various business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science projects.
• Work on a wide range of applications, including but not limited to vision AI, cloud-based applications, and other data-driven solutions across the company.
• Design and conduct experiments to validate hypotheses and optimize processes.
• Identifying detailed data needs, sources, and structure to support solution development.
• Communicate findings and insights effectively to non-technical stakeholders through reports, visualizations, and presentations.
• Work with data engineers to ensure data quality and integrity.
• Stay current with the latest advancements in data science and AI technologies and methodologies.
• Mentor junior data scientists and provide guidance on best practices.

QUALIFICATIONs:

• Bachelor’s or Master’s degree in computer science, Statistics, Mathematics, Engineering, or a related field. A Ph.D. is a plus.
• Proven working experience as a Data Scientist or in a similar role.
• Experience with manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends.
• Proficiency in programming languages such as Python or R.
• Experience with ML/DL frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical methods and data analysis techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure).
• Proven experience working with relational databases (e.g., MySQL, PostgreSQL) to extract, transform, and load (ETL) data for analysis. Plus: Experience with cloud-based databases (e.g., Amazon Redshift, Google BigQuery) or NoSQL databases (e.g., MongoDB, Cassandra) for handling big data

Stoneridge is an Equal Employment Opportunity Employer. We do not discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, marital status, mental or physical disability, genetic information, veteran status or any other characteristic protected by the applicable laws in the countries we operate. Stoneridge also prohibits harassment of applicants or employees based on any of these protected categories.