WMS Data Scientist & Business Analyst, ML, ETL, Dashboards

Stellantis; Auburn Hills (MI); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Health coverage

Paid time off

Retirement plans

Disability & life insurance

Company vehicle lease

Family building benefits

Tuition reimbursement

Volunteer hours

Job summary

Stellantis in Auburn Hills is seeking a data engineer to design, build, and maintain large-scale data pipelines (ETL/ELT) across automotive data sources. You’ll ensure data quality, implement validation tools, and optimize workflows for batch and real-time analytics.

You’ll collaborate with IT and analytics teams to create centralized data products, train models for forecasting and anomaly detection, and develop dashboards and automated reports to deliver actionable insights.

Qualifications

• Experience designing and maintaining robust data pipelines (ETL/ELT).
• Ability to ensure data quality and build automated validation tools.
• Experience with batch and real-time analytics.
• Collaboration with IT and analytics to integrate data from business systems into centralized data products.
• Experience training and deploying predictive models and ML algorithms.
• Develop dashboards and automated reporting to deliver actionable insights.

Responsibilities

• Design, implement, and maintain robust data pipelines (ETL/ELT) to collect, process, and transform large-scale structured and unstructured datasets from diverse automotive sources.
• Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools.
• Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs.
• Collaborate with IT and analytics teams to integrate data from business systems into centralized data products.
• Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation.
• Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions.

Skills

Data pipeline design

Data quality assurance

ETL/ELT

ML model training

Data visualization

Cross-functional collaboration

Job description

Stellantis in Auburn Hills is seeking a data engineer to design, build, and maintain large-scale data pipelines (ETL/ELT) across automotive data sources. You’ll ensure data quality, implement validation tools, and optimize workflows for batch and real-time analytics.

You’ll collaborate with IT and analytics teams to create centralized data products, train models for forecasting and anomaly detection, and develop dashboards and automated reports to deliver actionable insights.