Fleet Data Scientist: AI-Driven Analytics & KPI Lead

Stellantis; Auburn Hills (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

Stellantis is seeking a seasoned data analytics leader to drive fleet monitoring and tool evolution. You will apply AI and advanced analytics to process JARVIS vehicle data, develop KPIs, and guide cross-regional teams in North America.

The role requires 8+ years of experience, a strong data science background, and collaboration with Data Science teams to deploy new features and measure performance. Based in the U.S. with in-person responsibilities.

Qualifications

• Bachelor's degree in Data Analytics, Data Science, AI, CS, Electrical Engineering, or related field.
• 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 for KPI development.
• Knowledge of vehicle electronic architectures and signal variations across fleets.

Responsibilities

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

Skills

Genie

AI/ML tools

Python

Advanced data analytics

Education

Bachelor's degree in Data Analytics/Data Science/AI/CS/EE

Master's degree (preferred) in related field

Tools

Databricks

JARVIS

Aptiv

SI Roulage

Job description

Stellantis is seeking a seasoned data analytics leader to drive fleet monitoring and tool evolution. You will apply AI and advanced analytics to process JARVIS vehicle data, develop KPIs, and guide cross-regional teams in North America.

The role requires 8+ years of experience, a strong data science background, and collaboration with Data Science teams to deploy new features and measure performance. Based in the U.S. with in-person responsibilities.