Parts and Service Data Engineer / Data Scientist
Company: Stellantis
Location: Auburn Hills
Posted on: January 1, 2026
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Job Description:
Overview: Mopar is seeking a technically skilled and innovative
Data Engineer / Data Scientist to drive advanced analytics and data
solutions. This role is central to designing, building, and
optimizing data pipelines, developing predictive models, and
delivering actionable insights that empower HQ stakeholders. The
ideal candidate will blend strong engineering skills with
analytical expertise to support data-driven decision-making and
operational excellence across the region. Key Responsibilities:
Data Engineering & Pipeline Development: 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. Advanced Analytics
& Data Science: Analyze complex datasets to uncover trends,
patterns, and actionable insights that inform business strategies
and operational improvements. Build, train, and deploy predictive
models and machine learning algorithms for applications such as
performance forecasting, anomaly detection, and customer
segmentation. Conduct A/B testing, causal inference, and
statistical analysis to evaluate business initiatives and drive
continuous improvement. Apply best practices in data visualization
to ensure clarity, accuracy, and accessibility of insights,
including interactive dashboards, automated reporting, and
mobile-friendly solutions. Collaboration & Stakeholder Engagement:
Serve as a technical liaison between HQ analytics and business
teams, translating business needs into scalable data solutions.
Educate and mentor team members on data best practices, analytics
tools, and emerging technologies.
Keywords: Stellantis, Detroit , Parts and Service Data Engineer / Data Scientist, IT / Software / Systems , Auburn Hills, Michigan
