Senior Data Scientist

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. The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world. In this position... The Senior Data Scientist on the Credit AI team at Ford Credit will lead the development and deployment of advanced AI and machine learning solutions that improve customer experience, reduce risk, and drive operational efficiency. This role focuses on delivering scalable, production-ready solutions across conversational AI, fraud detection, forecasting, and intelligent automation initiatives while partnering closely with engineering, product, and business stakeholders. As a Senior Data Scientist within the Credit AI organization, you will play a critical role in shaping and delivering AI-driven solutions that support strategic business priorities across Ford Credit. You will work across a diverse portfolio of initiatives, including conversational AI solutions for customer representatives, fraud detection and risk analytics, forecasting and predictive modeling, and AI agents that automate business workflows and accelerate software development processes. This role requires strong expertise in machine learning, statistical modeling, generative AI, and production AI systems. You will collaborate with cross-functional teams to translate business challenges into scalable technical solutions, develop and validate models, and ensure successful deployment into production environments. You will also help establish best practices around model governance, monitoring, explainability, and responsible AI. The ideal candidate combines deep analytical and technical expertise with strong business acumen, communication skills, and the ability to lead complex initiatives from concept through implementation. Success in this role will be measured through measurable business outcomes such as reduced fraud losses, improved forecast accuracy, enhanced customer support efficiency, and increased automation effectiveness.