Ford
The Data Scientist role involves designing, developing, and deploying end-to-end analytics, machine learning, and GenAI solutions using large-scale structured and unstructured data. The position balances classical ML and statistical modeling with modern LLM-based architectures to create value across business objectives. The role requires building scalable analytics pipelines, implementing RAG pipelines, and fine-tuning Large Language Models for enterprise applications. Collaboration with IT and cross-functional stakeholders is essential to deploy solutions on cloud infrastructure and communicate insights effectively.
Headquarters
Dearborn, Michigan, United States
Company Size
10001+ employees
Founded
1903
Ford is an American automaker that designs, manufactures, and sells a full lineup of vehicles — cars, SUVs, crossovers, trucks, vans and commercial vehicles — with expanding hybrid and electric offerings. Its consumer-facing site supports shopping and ownership with photos, build & price tools, inventory search, pricing & incentives, and product and technology updates. Branded “Built for America,” Ford emphasizes vehicle technology, innovation in electrification, and broad dealer and service support for consumers and businesses.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Ford.
Ford didn’t post a salary, so this is our estimate from similar listings.
15% below the average for this role