Analytics Scientist

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

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.

In this position...

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Credit Company (FMCC) is seeking a talented Analytics Scientist specialized in AI Systems & Infrastructure to bridge the gap between cutting-edge AI and enterprise-scale infrastructure. As a key architect in our digital transformation, you will leverage AI/ML to modernize legacy processes and lead our strategic migration to the Google Cloud Platform (GCP).

In this role, you will go beyond model building to design the robust systems and AI agents that power our global financial services. You will partner with cross-functional teams to translate business requirements into technical reality—providing expert code optimization, performance enhancements, and system reliability. Working alongside a diverse team of Scientists, Data Engineers, and IT professionals, you will explore emerging tools, develop Proof of Concepts (POCs), and lead technical knowledge-sharing initiatives.

Hands-on experience in building and deploying AI agents or chatbots is essential for success in this role.

What you'll do...

• Cross-Functional Orchestration:
  Lead the coordination of infrastructure activities across GDIA, IT, and Business teams to ensure a seamless analytics ecosystem.
• AI Innovation:
  Design, prototype, and product ionize sophisticated AI agents (conversational and task-oriented) to automate business processes and enhance agent workflows.
• Lifecycle Management:
  Own the end-to-end lifecycle of Credit Analytics software, from infrastructure design and feature engineering to deployment, monitoring, and automated retraining.
• Cloud Transformation:
  Serve as a core contributor to FMCC’s transition to GCP, ensuring our analytics tools are scalable, secure, and modern.
• Process Modernization:
  Identify opportunities to leverage AI/ML techniques to streamline legacy operations and improve decision-making accuracy.

You'll have...

• Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
• Expertise in the end-to-end development of Enterprise Chatbots, AI Agents - including design, prototyping, and product ionizing conversational and task-execution workflows - with a proven ability to integrate these agents into complex backend systems to safely automate business processes while owning the full lifecycle from data lineage and feature engineering to deployment, monitoring, and automated retraining.
• 5+ years of experience in infrastructure or Dev Ops roles managing complex hardware, software, and data environments (Linux, Windows, GCP).
• 5+ years of experience managing and querying large-scale data environments (Big Query, Postgre
  
  SQL, SQL Server, Teradata, etc.).
• Strong programming skills in Python, SQL, or SAS. Familiarity with Kubernetes, Docker, and Containerization is a plus.
• A proactive mindset with the ability to solve high-complexity technical challenges with precision.

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 established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a…