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Stellantis · 1 day ago

Parts and Service Data Engineer / Data Scientist

Auburn Hills, MI

Full-time

Onsite

Senior Level

5+ years exp

Stellantis 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.

AutomotiveIndustrial ManufacturingRetailTransportation

H1B Sponsor Likely

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

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

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

Qualification

Data EngineeringMachine LearningETL/ELT ToolsPythonSQLData VisualizationAnalytical ThinkingProblem-SolvingCommunication SkillsAttention to Detail

Required

Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field

5+ years of experience in data engineering, analytics, or data science (automotive industry experience preferred)

Proficiency in programming languages such as Python and SQL

Hands-on experience with ETL/ELT tools, data modeling, and cloud platforms (Snowflake, etc.)

Strong analytical thinking, problem-solving skills, and attention to detail

Excellent communication and presentation abilities, with a proven ability to explain complex technical concepts to diverse audiences

Ability to manage multiple priorities and deliver results in a fast-paced environment

Preferred

Master's degree

Demonstrated experience designing and deploying business dashboards and data visualizations for large-scale automotive or after-sales operations

Advanced proficiency with business intelligence tools (e.g., Power BI, Tableau, Qlik) and experience integrating visualizations with cloud data platforms (e.g., Snowflake)

Familiarity with Mopar systems and performance metrics

Knowledge of machine learning, deep learning, and advanced analytics techniques

Certifications in cloud data engineering or analytics platforms

Benefits

Comprehensive Health & Well-being Coverage

Family Building Benefit

Generous Paid Time Off

Competitive Retirement Savings Plans

Income Protection & Insurance Options

Company Vehicle Lease Program

Support for Your Growth and Giving Back

Company

Stellantis

Glassdoor3.7

Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles.

Founded in 2021

Hoofddorp, Noord-Holland, NLD

10001+ employees

https://www.stellantis.com/

H1B Sponsorship

Stellantis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (2)

2024 (3)

2023 (2)