> Markdown version of [/jobs/ext/4626536-data-scientist-fleet-data](https://www.wearedevelopers.com/jobs/ext/4626536-data-scientist-fleet-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist - Fleet Data

- **Company:** Fiat Chrysler Automobiles N.V.
- **Location:** Auburn Hills, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Information Technology, Data Analytics, Machine Learning Operations, Databricks
- **Published:** November 7, 2026
- **Apply:** https://careers.stellantis.com/job/24118454/data-scientist-fleet-data-auburn-hills-mi/

## About the Role

* Bachelor's degree in Data Analytics, Data Science, Artificial Intelligence, Computer Science, Electrical Engineering, or a related engineering field
 * A minimum of 8 years of work experience
 * Experience with Genie, AI/ML tools, Python code, and advanced data analytics.
 * Strong understanding of fleet operations and vehicle signals used for KPI development.
 * Knowledge of vehicle electronic architectures and signal variations across fleets., * Master's degree in Data Analytics, Data Science, Artificial Intelligence, Computer Science, Electrical Engineering, or a related engineering field
 * Experience in Databricks
 * Experience with SI Roulage, JARVIS, Aptiv, or comparable fleet-monitoring and data-acquisition tools.
 * Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
 * Ability to work independently and provide technical leadership across regional teams.

## Description

* Identify upcoming fleets for the region and determine the necessary BDCs and signals for tracking.
 * Define and monitor specific KPIs for fleet monitoring.
 * Use AI, machine learning, and data analytics tools to process and analyze JARVIS vehicle data and identify meaningful trends, anomalies, and performance insights.
 * Organize pre-production sample testing after the first vehicle is equipped, in collaboration with Data Science teams.
 * Ensure fleet data is properly published and available within the required systems.
 * Participate in weekly fleet-management and safety-steering meetings, coordinating issue resolution with local teams (HMT,suppliers, and IT)
 * Review and analyze Mileage traveled by each fleet, summarize issues, and recommend improvements.
 * Support JARVIS deployment and test new features and KPIs.

Provide technical direction, coaching, and guidance to junior engineers in the U.S. and other regions supporting North American vehicle-data activities.