Vehicle Prognostics - Applied Data Scientist

Ford's Electric Vehicles, Digital and Design (EVDD) team is seeking an Applied Data Scientist to work on Vehicle Prognostics. The team is responsible for delivering the company's vision of a fully electric transportation future. As an Applied Data Scientist, you will develop and deliver breakthrough Prognostic Features to study and predict the degradation or occurrence of a problem in a vehicle component/system.

Responsibilities:

• Own the process for prognostic feature development from conceptual to feature deployment to production vehicles.
• Pioneer Physics-Informed Machine Learning (PIML) to develop hybrid, high-fidelity prognostic models.
• Architect Prognostics & RUL Frameworks to accurately estimate the Remaining Useful Life (RUL) of critical vehicle subsystems.
• Deploy Edge Models in C++ to bridge the gap between cloud-based data science and resource-constrained on-board vehicle electronic control units (ECUs).
• Harness High-Frequency Signal Processing to extract clean, high-frequency physical signatures from multi-sensor vehicle networks.
• Design Multi-Sensor Fault Detection & Isolation (FDI) frameworks capable of real-time Fault Detection and Isolation (FDI).
• Apply Statistical Causal Inference to differentiate between mere correlation and true physical root causes of component degradation.
• Own the End-to-End Pipeline (HIL to Production) and direct the entire prognostic lifecycle.
• Synthesize Deep Subsystem Domain Knowledge and partner with EV and ICE component subject matter experts.
• Build Scale with Big Data & Calibration Tools and ingest large-scale telemetry data using Python, SQL, Spark, and Hadoop.

Qualifications:

• Bachelor's in Mechanical, Electrical, Computer Science, Computer Engineering, Physics, Mathematics or related fields.
• 4+ years of experience in practicing statistical methods and their accurate application.
• 3+ years of experience with Python, SQL, and related modules.
• Experience with embedded controls, onboard Diagnostic, Sensor Processing, General First Principles Physics Modeling and simulation using numerical computational tools.
• Self-motivated, strong analytical, excellent interpersonal and communication skills required.

Benefits:

• Immediate medical, dental, vision and prescription drug coverage.
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more.
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.
• Vehicle discount program for employees and family members and management leases.
• Tuition assistance.
• Established and active employee resource groups.
• Paid time off for individual and team community service.
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day.
• Paid time off and the option to purchase additional vacation time.