Data Scientist

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways.

Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.

The Marketing and Enterprise Analytics team within Global Data Insights and Analytics (GDI&A) supports analytical solutions and insights across the enterprise in areas like Corporate Finance, Office of General Counsel, General Auditors Office, Human Resources, and others. The Data Scientist discovers and curates new and existing data sources to create insight for the business. This is an exciting opportunity to utilize the latest tools and methods in Statistics, Big Data, Data Science, and Applied Generative AI to solve a variety of business problems and help build the next generation of intelligent, autonomous systems.

The role spans the full project lifecycle from analytic problem definition, through data gathering, analysis, model development, agentic workflow design, reporting/visualization development, testing, and operational deployment.

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.

We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners. We seek to provide the thought leadership essential to achieving Ford’s strategic objectives. We translate insight into action by driving toward robust points of view, timely decisions and responsible allocation of enterprise resources.

Master's degree in Statistics, Economics, Data Science, Computer Science, Engineering, Mathematics or relevant degree. 5+ years of experience in statistical or mathematical modeling, Machine Learning, Data Science or AI Engineering.
3+ years' experience with cloud platforms (e.g. GCP, Azure, AWS).1+ years of hands-on experience designing, developing, and deploying Agentic AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and LLM/SLM integrations.
1+ years of experience in Accounting or Finance.

Large scale data manipulation and mining/pattern recognition experience.

Developed and implemented Machine Learning models.

Orchestration Mastery:
Hands-on capability with modern AI orchestration frameworks, LLM APIs, and complex behavioral prompt engineering methodologies.

SLM & Fine-Tuning Expertise:

Experience with domain-specific model adaptation, including parameter-efficient fine-tuning and model distillation to embed internal business rules and vocabulary.

Strong oral and written communication skills.

Strong problem formulation and problem solving skills.

Experience communicating findings to make data analysis actionable and understandable by business partners.

Ability to take complex problems and break them down to create and implement an action plan.

Strong understanding of analysis and computational complexity and ability to programmatically solve problems.

Strong capabilities at designing visual interface for data interaction.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an…