Quality Data Scientist - Electrical Systems & Field Quality Engineering Stellantis - 3.9 Auburn Hills, MI Job Details 6 hours ago Qualifications AI models Performance dashboard reports Data integrity assurance Data quality checks Operational analysis Data visualization software proficiency Data Integration (Data management) Database systems Big data projects Predictive modeling analysis Presentation software Requirements design Defect analysis Presentations for conferences or internal meetings Spark Dashboard creation Business intelligence report generation Dashboard creation support Process design Reliability analysis Scalable systems SQL Demand forecasting analysis Data integrity and documentation Spark implementation Machine intelligence Outlier detection Model deployment Data quality monitoring Requirements analysis

Full Job Description Job ID:

2020905

Career Area:

Quality Position Type:

Salaried Location:

Headquarters & Technology Center - Auburn Hills 48326,

US Date Posted:

August 28, 2026

Brand:

FCA Group Are you passionate about transforming complex data into actionable insights that improve product quality and customer satisfaction? We are seeking a strategic, hands-on Data Scientist to support Warranty Analytics and Programs within our North America quality team. The ideal candidate combines advanced data analytics, predictive modeling, and data manipulation expertise with the ability to communicate complex findings through clear, executive-ready PowerPoint presentations. You will be part of a talented team developing scalable analytics, predictive models, and early-warning capabilities to detect emerging quality trends across large enterprise datasets. This is a fast-paced environment focused on rapid, high-quality delivery for business partners. You will work in a highly collaborative organization that values analytical rigor, speed, innovation, and measurable business impact.

Key Responsibilities:

Lead and coordinate cross-functional analytics and AI initiatives from problem definition through deployment, ensuring alignment with business objectives, timelines, and measurable outcomes. Perform deep exploratory, diagnostic, and predictive analysis to identify patterns, relationships, anomalies, emerging risks, and leading indicators within complex datasets. Build, validate, and deploy predictive models to forecast warranty claims, component failure rates, quality trends, repair demand, and cost exposure. Apply statistical analysis, machine learning, forecasting, segmentation, and anomaly-detection techniques to solve business and operational problems. Manipulate, integrate, cleanse, transform, and analyze large structured and unstructured datasets from multiple enterprise sources using Python, SQL, PySpark, and related tools. Develop robust, repeatable analytical workflows and reusable data products that support scalable decision-making and consistent results. Partner with business stakeholders to define analytical questions, translate business needs into actionable use cases and technical requirements, and establish success criteria. Collaborate with data scientists, data engineers, platform teams, and subject-matter experts to improve data accessibility, model performance, scalability, and adoption. Create compelling, executive-ready PowerPoint presentations that clearly communicate analytical methods, findings, predictions, business implications, risks, recommendations, and next steps. Develop dashboards, visualizations, and analytical outputs that enable insight adoption, operational action, and performance monitoring. Present complex analytical findings to technical and nontechnical audiences using concise storytelling, strong visual design, and decision-focused recommendations. Ensure data quality, lineage, documentation, model transparency, and compliance with enterprise governance requirements. Monitor model performance and analytical outputs, identify degradation or changing patterns, and recommend model recalibration or process improvements. EOE/Disability/Veteran At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Our benefits reflects the

STELLANTIS

commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life. As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired. We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.