Lead Data Scientist: Warranty Analytics & Quality

Stellantis; Auburn Hills (MI); On-site; USD 120,000 - 150,000; Full time

Job summary

Stellantis in Auburn Hills, MI is seeking a strategic Data Scientist to support Warranty Analytics and Programs within the North America quality team. You will develop scalable analytics, predictive models, and early-warning capabilities to detect emerging quality trends across large enterprise datasets.

The role requires advanced analytics, strong communication to executives, and collaboration with data scientists, engineers, and business partners to translate insights into actionable

Qualifications

• 7+ years of professional experience as a Data Scientist or similar role.
• Strong proficiency in Python, SQL, PySpark, and data visualization tools.
• Experience building predictive models for warranty or quality analytics is a plus.
• Experience communicating complex findings to executive teams.

Responsibilities

• Lead and coordinate cross-functional analytics and AI initiatives from problem definition through deployment.
• Perform deep exploratory, diagnostic, and predictive analysis to identify patterns and risks.
• Build, validate, and deploy predictive models to forecast warranty claims and quality trends.
• Apply statistical analysis and ML techniques to solve business problems.
• Manipulate and analyze large datasets using Python, SQL, PySpark and related tools.
• Develop robust analytical workflows and reusable data products.
• Present findings with executive-ready visuals and concise recommendations.

Skills

Advanced data analytics

Executive communication

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or related field

Master's degree preferred

Tools

Python

SQL

PySpark

Power BI

Palantir Foundry

Snowflake

Databricks

Azure/AWS/GCP

Job description

Stellantis in Auburn Hills, MI is seeking a strategic Data Scientist to support Warranty Analytics and Programs within the North America quality team. You will develop scalable analytics, predictive models, and early-warning capabilities to detect emerging quality trends across large enterprise datasets.

The role requires advanced analytics, strong communication to executives, and collaboration with data scientists, engineers, and business partners to translate insights into actionable