Data Scientist

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Search Results Data Scientist Job ID:

2017014

Career Area:

ICT, Digital and Data Position Type:

Salaried Location:

Headquarters & Technology Center - Auburn Hills 48326 ,

US Date Posted:

April 23, 2026

Brand:

FCA Group Apply Refer A Friend Share this job Share on Facebook Share on Twitter Share on Linkedin Share by Mail https://recruiting.adp.com/srccar/public/RTI.home?r=5001191770406&c=2183219&d=ExternalCareerSite&rb=??? You are being redirected Once you are on the page, please click the refer button

Job Overview Qualifications Benefits Job Overview Your Mission:

The Machine Learning & AI Engineering team is looking for a Data Scientist to independently deliver advanced analytics and machine learning solutions across quality and engineering domains. This role focuses on strong technical execution, applied modeling, and cross ‑ functional collaboration to solve complex quality and engineering problems using established ML and AI approaches. The data scientist contributes to shared frameworks, experimentation practices, and reusable assets, while operating under the broader technical direction set by senior staff and internal stakeholders.

Key Responsibilities:

Advanced Analytics & Modeling:

Design, develop, and deploy predictive and statistical models using vehicle and enterprise data. Apply advanced analytics and ML techniques to root cause analysis, quality improvement, and feature optimization. Support development of LLM based or ML driven solutions for engineering and quality use cases, leveraging existing architectures and patterns.

ML Systems & Data Platforms:

Contribute to the evolution of shared ML frameworks, tooling, and best practices. Ensure models and analytics solutions are robust, explainable, and suitable for regulated automotive contexts.

Experimentation & Product Support:

Support experimentation methodologies and platforms to enable safe and effective testing of software and product features. Analyze experimental results and translate findings into actionable recommendations for engineering and product teams.

Collaboration & Knowledge Sharing:

Work closely with engineering, quality, and product partners to translate business problems into data science solutions. Clearly communicate analytical findings to both technical and non technical audiences. Document methodologies and contribute to centralized knowledge repositories. Top Performers will be able to demonstrate: Successful delivery of analytics or ML solutions with a measurable impact on quality, cost, or customer experience. Strong problem-solving skills in ambiguous, data rich environments. Effective collaboration within cross functional teams. Clear, structured communication of technical insights and recommendations. Consistent application of sound statistical reasoning and modeling practices.

Qualifications Basic Qualifications:

Bachelor's Degree required with technical focus (e.g. Data science, Statistics, CS, Physics, Engineering, etc.) Minimum of 2 years of total experience in data-oriented advanced analytics/ machine learning Exceptional technical skills with Python/R, SQL for data analysis and experience in ML driven products Knowledge of advanced statistical and ML algorithms, experience in Root Cause Analysis is desirable Expert at deriving narrative from data and communicate the results effectively

Preferred Qualifications:

Com prehensive experience with predictive and prescriptive modeling/ machine learning Understanding of ASPICE or similar development lifecycle standards. Experience in automotive, manufacturing, or quality‑focused analytics environments. Benefits Salaried Employee Benefits (US, Non-Represented) Health & Wellbeing Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability. Compensation, Savings, and Retirement Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing. Time Away from Work Paid time includes company holidays, vacation, and Float/Wellbeing Days. Family Benefits 12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances. Professional Growth Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups. Company Car & More Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends. 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. Apply Join our Talent Community Create a talent profile to receive relevant job alerts and the latest company news! If you're a U.S. Veteran, please sign up through our Veterans Recruiting Program page. Create a Talent Profile Sign into your profile