Data Scientist – Fleet Data

Stellantis NV; Auburn Hills (MI); In loco; USD 110.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health coverage

PTO

Retirement plan

Company vehicle

Family building

Tuition reimbursement

Volunteer hours

Descrizione del lavoro

Stellantis NV in Auburn Hills, MI, seeks a Lead Data Analytics professional to guide fleet data analytics for JARVIS and related tools, applying AI and advanced analytics to vehicle data. You will define KPIs, monitor fleet performance, and steer regional teams.

The role requires 8+ years in data analytics or AI, strong Python/AI tool experience, and the ability to lead across regions while mentoring junior engineers.

Competenze

• Bachelor's degree in Data Analytics, Data Science, AI, CS, E.E., 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, AI, CS, E.E., or related 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

Mansioni

• 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 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

Conoscenze

Genie

AI/ML tools

Python

Advanced data analytics

Formazione

Bachelor's degree in Data Analytics, Data Science, AI, CS, E.E., or related field

Master's degree in Data Analytics, Data Science, AI, CS, E.E., or related field

Strumenti

Databricks

JARVIS

Aptiv

SI Roulage

Descrizione del lavoro

Mission:

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.

Key Responsibilities:

• 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.

Basic Qualifications:

• 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.

Preferred Qualifications:

• 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.

Our Benefits - Designed with You in Mind

Comprehensive Health & Well-being Coverage
From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.

Generous Paid Time Off
We believe in work-life balance. That's why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans
We help you plan for the future with:

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don't contribute

Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.

Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back
We believe in investing in your future and your passions:

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!
When you join us, you're not just building a career - you're joining a company that supports you, inside and outside of work.