Architect the future of industrial intelligence as a Senior Data Scientist within Ford’s Advanced Technology and Platform (ATP) organization.
Deploy the full spectrum of AI—from classical machine learning to Agentic AI and Multi-modal LLMs—to solve our most complex manufacturing challenges.
Bridge the gap between breakthrough AI research and global production, transforming industrial systems to real-time edge intelligence.
Build features and services across the full AI stack: orchestration, retrieval/grounding, prompt/agent logic, evaluation/guardrails, serving, and observability.
Build end-to-end ML pipelines from data collection and labeling through training, evaluation, and deployment across diverse factory environments.
Work with diverse, heterogeneous datasets combining multiple modalities including images, multi-spectral sensor outputs, video, text, and tabular data to build scalable solutions.
Take ownership of production models, ensuring robust monitoring, drift detection, and alerting systems for rapid issue resolution.
Collaborate with teams in production, process engineering, controls, and quality to translate ambiguous problem statements into actionable, end-to-end machine learning solutions.
Partner with factory, quality and engineering teams to identify high-impact problems solvable through AI.

Requirements

BS/MS or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field.
5+ years of progressive experience in Data Science, utilizing Machine Learning in production to solve complex business problems in a leading role.
3+ years of direct experience applying data science within a manufacturing or industrial environment (ideally automotive).
Demonstrated ownership of services or platform components, end-to-end delivery of machine learning applications.
Expert proficiency in Python (Numpy, Pandas, Scikit-learn, TensorFlow/PyTorch).
Strong SQL skills for complex data extraction, modeling and manipulation.
Proven ability to rapidly learn new concepts and apply machine learning methodologies to new and diverse domains.
Proficiency with modern software delivery practices (version control, CI/CD, Terraform).
Familiarity with cloud platforms (GCP Preferred), cloud-native services, and containerization (Docker/Kubernetes).

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAIend-to-end ML pipelinesdata collectiondata labelingmodel evaluationPythonSQLTensorFlowPyTorch

Soft Skills

collaborationproblem-solvingownershipcommunicationadaptability

Certifications

BSMSPh.D.