Data Scientist – Fleet Data

Role Overview

Lead data analytics activities for fleet monitoring and tool evolution, applying AI and advanced analytics to process and analyze vehicle data collected through JARVIS and support system improvements.

What You Will Do

Identify upcoming fleets for the region, define and monitor specific KPIs for fleet monitoring, and use AI, machine learning, and data analytics tools to process and analyze JARVIS vehicle data.

Why It Might Be a Fit

Strong analytical, problem-solving, communication, and cross-functional collaboration skills, with ability to work independently and provide technical leadership across regional teams.

Requirements

• 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