Data Scientist
Ford Motor Company Dearborn, Michigan, United States · $100K–$193K/yr
Motor Vehicle Manufacturing · 10,001+ employees
About the role
The Data Scientist will lead the development of Agentic AI applications and traditional machine learning models to provide predictive and prescriptive insights. They are responsible for architecting robust, safe, and observable solutions that bridge modern LLMs with statistical techniques to drive evidence-based decision-making.
What they look for
Requirements
Candidates must have a bachelor's degree in a quantitative field and at least 3 years of professional experience in Data Science with a focus on Generative AI and machine learning. Proficiency in Python, GCP stack tools, and experience building agentic workflows are required.
Benefits
Full description
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on 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 Global Data Insights and Analytics (GDIA) department is looking for qualified individuals who can develop scalable solutions to complex real-world problems using Generative AI, Agentic Workflows, Machine Learning, and Statistics. Our goal is to drive evidence-based decision-making by providing insights from data across various domains, including Connected Vehicle, Smart Mobility, Manufacturing, Supply Chain, and Warranty Analytics.
In this position...
As a Data Scientist, you will play a critical role in leveraging data science to drive significant business impact. You will lead the development of Agentic AI applications and traditional ML models, building intelligent systems that can reason through complex scenarios while also providing predictive and prescriptive insights.
You will be responsible for architecting solutions that are not only intelligent but safe, observable, and robust. You will bridge the gap between modern Large Language Models (LLMs) and traditional statistical techniques, ensuring that AI agents operate within strict guardrails and are backed by rigorous data analysis.
Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week. Relocation assistance may be available for qualified candidates.
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