Quality Data Scientist: Warranty & Field Analytics

Stellantis

Auburn Hills (MI)

On-site

USD 110,000 - 170,000

Full time

5 days ago

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Benefits offered by this job

Comprehensive Health & Well-being

Tuition reimbursement

18 volunteer hours per year

Company vehicle lease program

Job summary

Stellantis is seeking a strategic Data Scientist to support Warranty Analytics and Programs within our 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 combines advanced data analytics, model development, and executive-ready communication to improve product quality and customer satisfaction.

Qualifications

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative field.
7 years of professional experience as a Data Scientist or similar role.
Strong proficiency in Python, SQL, PySpark, and data visualization tools such as Power BI or Palantir Foundry Workshop.
Experience with enterprise data or cloud platforms (Palantir Foundry/Snowflake/Databricks/AWS/Azure/GCP).
Advanced data manipulation, feature engineering, validation, and large-scale data analysis.
Proven end-to-end analytics delivery from requirements to monitoring.

Responsibilities

Lead cross-functional analytics and AI initiatives from problem definition through deployment.
Perform deep exploratory, diagnostic, and predictive analyses on large enterprise datasets.
Build, validate, and deploy predictive models for warranty claims, quality trends, and cost exposure.
Create executive-ready PowerPoint presentations communicating methods, findings and recommendations.
Develop dashboards and visualizations to enable insight adoption and action.