Data Science Supervisor

Location: Dearborn, MI, United States; Hybrid

We are seeking a hands-on Data Science Supervisor to lead a team of software developers and data scientists building diagnostic and quality analytics products for Ford vehicles. In this role, you will guide the team in turning diagnostic trouble codes (DTCs), Data Identifiers (DIDs), and Controller Area Network (CAN) signal data into actionable insights that help identify and resolve vehicle quality issues.

This role requires a combination of AI/ML engineering expertise, people leadership, product delivery, and stakeholder partnership. You will guide work across the product lifecycle—from data ingestion and model development to deployment of interactive dashboards backed by scalable Google Cloud Platform (GCP) infrastructure. You will champion agile practices, mentor team members, and partner with product, quality, and engineering stakeholders to deliver useful, reliable analytics products.

Lead a cross-functional team of software developers and data scientists to design and deliver cutting-edge automotive analytics products. Leverage diagnostic trouble codes (DTCs), Data Identifiers (DIDs), and CAN signal data, combined with AI-driven anomaly detection, to surface vehicle quality issues and power intuitive Angular dashboards on Google Cloud Platform. Please note: This is a mandatory Transitional Work Arrangement (TWA) position.