Senior Data Scientist – Go-to-Market Advanced Analytics (Yield Management)

Our Marketing, Sales & Service organization advances the Ford reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears and voice of Ford. In this position... This role sits within the Yield Management Advanced Analytics team, focused on developing and maintaining sophisticated modeling and optimization capabilities that drive pricing and incentive strategy across the business. As part of the broader Yield Management organization, this team partners closely with sibling analytics products, data engineering, AI/ML engineering, and business stakeholders to deliver quantitative solutions that shape how the company prices vehicles, structures incentives, and manages portfolio risk. The successful candidate will serve as a subject matter expert on our analytical products, translating complex business problems into rigorous quantitative solutions and owning their full lifecycle — from framework design through production deployment and ongoing maintenance. Solutions are delivered in whatever format best fits the need, often as always-on web applications (e.g., Python Dash apps), but also as ad-hoc analyses, or dashboards when appropriate. This position requires strong technical depth in statistical modeling, machine learning, and optimization, along with sound judgment in applying these methods to real business constraints. There is also room to explore emerging tools — such as agentic AI and LLM-based workflows — to enhance how solutions are built and delivered. Critical questions this role will help answer include: • Assessing portfolio risk and opportunity at the portfolio or nameplate level • Assessing business impacts of different incentive tactics to support incentive planning • Optimizing nameplate profitability or minimizing risk by adjusting entity-level pricing based on production, market demand, and operational constraints • Supporting new model year launches, mid-year repricing, and short-term variable marketing adjustments What you'll do... Model Enhancement, Expansion & Maintenance • Own the end-to-end lifecycle of complex predictive models and optimization frameworks, driving scheduled updates, continuous improvement, and maintenance using advanced statistical and machine learning methodologies • Serve as subject matter expert for our analytical products, ensuring the accuracy of underlying data, calculation logic, and business assumptions • Drive the transition of analytical frameworks into production-ready assets, focusing on deployment automation, operational stability, and delivering clean, modular, well-documented code • Explore opportunities to apply emerging techniques, such as agentic AI or LLM-based tools, to improve modeling workflows or analytical delivery Business Engagement & Cross-Functional Collaboration • Partner directly with business stakeholders to understand evolving needs and convert ambiguous business problems into well-defined analytical problems • Communicate quantitative concepts into clear, actionable insights for both technical peers and business partners, ensuring analytical work translates into real business impact • Execute rapid-response, ad-hoc analytical requests to support time-sensitive strategic decision-making • Partner closely with data engineering, AI/ML engineering, and other analytics product teams within Yield Management to align data science capabilities with evolving business needs You'll have... • Master's degree in Data Science, Statistics, Economics/Econometrics, Mathematics, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative field • 3+ years of experience in data analytics, AI/ML modeling, or related quantitative analysis • Proficiency in one or more programming languages (Python, R, MATLAB, C/C++/C#, SAS), along with familiarity in ML/DL libraries and SQL Even better, you may have... • Ph.D. in Data Science, Statistics, Economics/Econometrics, Mathematics, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative field • Demonstrated skills applying econometrics, statistics, and/or machine/deep learning techniques to large, structured and unstructured data sets • Strong problem formulation and analytical rigor, with the ability to interpret and communicate model results • Experience with web app frameworks (e.g., Dash, Flask, Streamlit), version control (Git), and cloud platforms (e.g., Azure, GCP) • Curiosity or experience exploring agentic AI and LLM-based tools, with interest in applying them creatively to analytical workflows 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 changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Chri