Sr. Specialist, Yield Management - GTM AA Data Scientist
About The Position
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.
Requirements
- Strong foundation in data science.
- Strong foundation in economics.
- Proven track record of improving products through rigorous quantitative analysis.
- Ability to translate complex data into clear business decisions.
Responsibilities
- Drive the development, deployment, and continuous enhancement of Yield Management Advanced Analytics Foundational Capability products.
- Own the lifecycle of sophisticated machine learning frameworks, ensuring they are scalable, robust, and aligned with business needs.
- Optimize analytical tools.
- Identify strategic opportunities for innovation.
- Partner with both technical and non-technical stakeholders to translate complex data into clear business decisions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
