Quality Data Analyst/Scientist

Are you passionate about transforming data into actionable insights that drive product quality and customer satisfaction? We are seeking a strategic and hands‑on Data Scientist to support Warranty Analytics and Programs within our North America quality team.

The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team driving predictive analytics and early detection of emerging quality trends using vast datasets across the enterprise.

This is a fast‑paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.

• Lead and coordinate cross‑functional AI programs from concept to deployment, ensuring alignment with business goals and timelines.
• Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives.
• Apply statistical analysis and machine learning techniques to solve business and operational problems.
• Partner with business stakeholders to understand requirements and translate them into analytical solutions.
• Translate business needs into actionable AI use cases and technical requirements.
• Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends.
• Ensure data quality, lineage, documentation, and compliance with governance requirements.
• Create dashboards and analytical outputs that drive insight adoption and operational impact.
• Collaborate with business data engineers, and platform teams on scalability, performance, and best practices.

• Bachelor’s or in Data Science, Statistics, Engineering, Computer Science, or related field.
• 3+ years experience as Data Scientist, Advanced Analyst, or similar role.
• Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop).
• Solid understanding of statistics, exploratory data analysis, and applied machine learning.
• Experience working with large, complex datasets in enterprise environments.
• Ability to communicate analytical findings clearly to technical and non‑technical audiences.
• Proven experience delivering end‑to‑end analytics or data science solutions into production.
• Experience with one or two data and cloud platforms (e.g., Palantir Foundry, Snowflake, Databricks AWS, Azure, GCP).
• Highly proficient in English.

• Familiarity with data modeling, semantic layers, and enterprise data platforms.
• Industry experience in automotive and manufacturing.
• Exposure to MLOps concepts, model deployment, or monitoring.
• Hands‑on experience with Palantir Foundry, Snowflake Intelligence.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.