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# Sr. Staff Data Scientist - Machine Learning & AI (Quality, Vehicle & Engineering Analytics)

- **Company:** Stellantis
- **Location:** Auburn Hills, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Artificial Neural Networks, Distributed Data Store, Distributed Systems, Python (Programming Language), Machine Learning, Standard Sql, Large Language Models, Snowflake, Apache Spark, IT Architecture, Build Management, Data Analytics, Machine Learning Operations, Databricks
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/sr-staff-data-scientist-machine-learning-and-ai-quality-vehicle-and-engineering-analytics-auburn-hills-mi-usa-58851508

## About the Role

Experteer Overview As Senior Staff Data Scientist, you will lead the ML/AI strategy for vehicle quality, engineering systems, and customer experience. You'll shape scalable ML architectures and act as a technical advisor to executives, driving measurable outcomes like quality improvements and warranty reductions. This IC role balances hands-on modeling with strategic influence across data, product, and engineering teams. You'll work on large-scale vehicle and IoT data, delivering impactful, production-ready AI solutions. You will also mentor peers and contribute to company-wide knowledge sharing. Compensation / Benefits * Define and evolve ML/AI architecture and framework for quality, engineering, and vehicle analytics * Set technical direction for ML systems, experimentation platforms, and data science architecture * Advise senior leadership on model feasibility, trade-offs, and business impact * Develop and deploy predictive, prescriptive, and causal models using vehicle and IoT data

 * Lead root cause analysis for vehicle quality and system failures * Design and build LLM-based and agentic AI solutions for engineering and quality use cases * Architect scalable distributed data/ML systems and manage ML lifecycle (training, validation, deployment, monitoring) * Oversee experimentation framework for safe, scalable testing and translate results into product decisions * Mentor senior and mid-level data scientists and share knowledge internally and externally Tasks * 8+ years in data science/advanced analytics/ML * 5+ years hands-on with Databricks, Palantir, Snowflake, or AWS SageMaker * Expert Python (or R) and SQL * Strong foundation in ML algorithms, statistical modeling, neural networks * Experience building ML solutions on distributed systems (e.g., Spark) * Ability to communicate with executives and translate analytics into business decisions Key requirements *

## Description

Experteer Overview As Senior Staff Data Scientist, you will lead the ML/AI strategy for vehicle quality, engineering systems, and customer experience. You'll shape scalable ML architectures and act as a technical advisor to executives, driving measurable outcomes like quality improvements and warranty reductions. This IC role balances hands-on modeling with strategic influence across data, product, and engineering teams. You'll work on large-scale vehicle and IoT data, delivering impactful, production-ready AI solutions. You will also mentor peers and contribute to company-wide knowledge sharing. Compensation / Benefits * Define and evolve ML/AI architecture and framework for quality, engineering, and vehicle analytics * Set technical direction for ML systems, experimentation platforms, and data science architecture * Advise senior leadership on model feasibility, trade-offs, and business impact * Develop and deploy predictive, prescriptive, and causal models using vehicle and IoT data * Lead root cause analysis for vehicle quality and system failures * Design and build LLM-based and agentic AI solutions for engineering and quality use cases * Architect scalable distributed data/ML systems and manage ML lifecycle (training, validation, deployment, monitoring) * Oversee experimentation framework for safe, scalable testing and translate results into product decisions * Mentor senior and mid-level data scientists and share knowledge internally and externally Tasks * 8+ years in data science/advanced analytics/ML * 5+ years hands-on with Databricks, Palantir, Snowflake, or AWS SageMaker * Expert Python (or R) and SQL * Strong foundation in ML algorithms, statistical modeling, neural networks * Experience building ML solutions on distributed systems (e.g., Spark) * Ability to communicate with executives and translate analytics into business decisions Key requirements *


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