Data Scientist
US$99,500 – US$193,000 / yr base salary
Posted 13 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Visa sponsorship
- Not offered
| Base salary | US$99,500 – US$193,000 / yr |
|---|
Field of studyComputer Science, Data Science, Engineering, Mathematics, Statistics (or related)
Study levelBachelor's
Field of studyComputer Science, Data Science, Engineering, Mathematics, Statistics (or related)
Study levelMaster's
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.
Responsibilities
What you'll do...
- Design, prototype, evaluate, and productionize LLM-powered applications for enterprise and customer-facing use cases.
- Develop prompt strategies, structured-output workflows, model routing, context-management approaches, and fine-tuning or adaptation methods when appropriate.
- Create rigorous LLM evaluation frameworks covering task quality, factuality, relevance, robustness, latency, cost, safety, and user experience.
- Explore and implement agentic AI patterns such as planning, tool and function calling, memory, reflection, human-in-the-loop approvals, and multi-step workflow execution.
- Develop and deploy scalable AI and machine learning solutions on GCP using services such as Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, and related data and AI services.
- Build reusable Python components, APIs, experimentation pipelines, and data products that integrate with enterprise platforms and applications.
- Create and maintain data pipelines that prepare structured and unstructured data for modeling, experimentation, evaluation, and production use.