Sr. Specialist, Yield Management - GTM AA Data Scientist

Ford • Dearborn, MI

10d • $74,300 - $166,200 • Hybrid

About The 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

• 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).

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care 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 Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior