Data Scientist

Location: Dearborn, MI, United States; Hybrid

 

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

In this position...

We are seeking a Data Scientist with a strong background in natural language processing and a focus on Large Language Models (LLMs) and generative AI. In this role, you will collaborate with product, engineering, analytics, and business teams to translate complex business needs into intelligent, reliable, scalable, and production-ready AI solutions. The ideal candidate will combine strong applied data science and machine learning expertise with hands-on experience developing LLM-powered applications, model evaluation frameworks, responsible AI controls, and cloud-based AI solutions using Google Cloud Platform (GCP). Experience with agentic AI—including tool-enabled agents, workflow orchestration, and multi-agent systems—is a plus 

Based in Dearborn, MI, this is a hybrid position with a requirement to be onsite four or more days per week. Relocation assistance may be available for qualified candidates.

 

We are seeking a Data Scientist with a strong background in natural language processing and a focus on Large Language Models (LLMs) and generative AI. In this role, you will collaborate with product, engineering, analytics, and business teams to translate complex business needs into intelligent, reliable, scalable, and production-ready AI solutions. The ideal candidate will combine strong applied data science and machine learning expertise with hands-on experience developing LLM-powered applications, model evaluation frameworks, responsible AI controls, and cloud-based AI solutions using Google Cloud Platform (GCP). Experience with agentic AI—including tool-enabled agents, workflow orchestration, and multi-agent systems—is a plus.