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.

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 Yield Management Advanced 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.

What you'll do...

Model Development and Enhancement:

* 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.

Collaboration and Communication:

* 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.

What you'll do...

Model Development and Enhancement:

* 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.

Collaboration and Communication:

* 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.