Sr. Specialist, Yield Management - GTM AA 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.

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... We are seeking a highly skilled Data Scientist to drive the development, deployment, and continuous enhancement of our Yield Management Advanced Analytics Foundational Capability products. In this role, you will own the lifecycle of sophisticated machine learning frameworks, ensuring they are scalable, robust, and aligned with business needs. The ideal candidate brings a strong foundation in data science and economics, alongside a proven track record of improving products through rigorous quantitative analysis.

You will play a key role in optimizing our analytical tools, identifying strategic opportunities for innovation, and partnering with both technical and non‑technical stakeholders to translate complex data into clear business decisions.

• Lead the continuous improvement of complex predictive models, leveraging advanced statistical and machine learning methodologies to ensure state‑of‑the‑art accuracy.
• Drive the transition of analytical frameworks into robust, production‑ready assets, focusing on deployment automation, code efficiency, and operational stability.
• Manage the end‑to‑end model lifecycle, including performing regular scheduled updates and executing rapid‑response ad‑hoc analyses to support strategic decision‑making.
• Proactively assess existing toolsets and methodologies to identify opportunities for enhancements and innovations.

• Translate intricate quantitative concepts into clear, actionable insights for both technical peers and non‑technical stakeholders.
• Partner closely with cross‑functional teams to align data science capabilities with evolving business needs and maximize impact.
• Present findings, recommendations, and progress updates to senior leadership and other key stakeholders.

• Bachelor’s degree in Data Science, Economics, Statistics, Mathematics, Computer Science, or a related quantitative and analytical field.
• 3+ years of experience; proven track record in a data science role, with a strong focus on product development, optimization, or business analytics.
• Strong proficiency in Python and SQL, with experience writing clean, modular, and scalable code.
• Experience applying machine learning frameworks to solve economic or business problems (e.g., demand forecasting, pricing, or consumer behavior modeling).
• Excellent analytical, problem‑solving, and critical‑thinking skills.
• Excellent communication and presentation skills, with a proven ability to translate complex quantitative results into actionable business insights.
• Experience with cloud computing platforms (e.g., Google Cloud Platform, AWS, Azure).

• Master’s degree or Ph.D. in Data Science, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Practical experience with price elasticity, Bayesian methods, and hierarchical modeling.
• Familiarity with CI/CD pipelines, and automated model deployment in production environments.

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…