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. Youll 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. Thats where Yield Management 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 Yield Management we aspire to navigate Ford Motor Company through the disruptiveness of the information age harnessing the power of data and artificial intelligence to realize the enterprises known goals reveal hidden opportunities and achieve data superiority.

The Go-To-Market (GTM) team develops data products and provides insights to a broad range of skill teams across Ford.

As a Data Scientist you will play a critical hybrid role on our team. You will own the development of core machine learning models while also building the foundational data pipelines that feed them and integrating modern AI tools (such as LLMs Agent and APIs) into practical business applications. This is a unique opportunity to apply a highly versatile end-to-end technical skillsetspanning data engineering machine learning and applied AIto deliver data products that directly inform business decisions.

Based in Dearborn MI this is a hybrid position with a required 4-day onsite presence each week.

What youll do...

• Model Development & Analytics: Design train and evaluate machine learning models including predictive classification and ensemble methods and conduct exploratory data analysis to surface trends anomalies and decision-support signals
• AI Application & LLM Integration: Build and integrate LLM powered workflows for insight generation and decision support blending structured business metrics with external signals through effective prompt engineering and harness in the agent
• Data Pipeline & Engineering: Design build and maintain scalable ETL and data pipelines across multi-source datasets to power analytics reporting and downstream applications
• Data Products & Visualization: Develop interactive analytics applications and dashboards (such as Dash/Power BI) that deliver real-time analytics KPI monitoring and actionable business insights
• Model Evaluation & Data Quality: Establish model evaluation frameworks grounded in statistical metrics and business KPIs and safeguard data reliability through validation of completeness consistency and ongoing pipeline monitoring
• Collaboration & Delivery: Partner with data engineers software engineers and product owners to translate business needs into robust analytic deliverables balancing technical rigor with speed to delivery

Youll have...

• Bachelors degree in a quantitative field such as Data Science Statistics Computer Science Mathematics or an equivalent combination of relevant education and experience
• 3 years of hands-on experience applying Python and SQL to data analysis and machine learning
• Solid understanding of core machine learning algorithms statistical methods and model evaluation techniques
• Demonstrated experience working with both structured and unstructured data

Even better you may have...

• Masters degree in a quantitative field such as Data Science Computer Science Statistics or Mathematics
• Experience with cloud platforms (such as Google Cloud Platform AWS or Azure) for analytics and model deployment
• Exposure to Generative AI Large Language Models (LLMs) prompt engineering or AI agent frameworks
• Familiarity with data pipeline and engineering tools (such as PySpark Airflow or BigQuery)

• Experience with data visualization tools (such as Power BI Tableau or Dash)

• Strong communication skills with the ability to translate complex technical concepts into clear actionable insights
• An inquisitive proactive mindset with a genuine desire to learn new tools and techniques

You may not check every box or your experience may look a little different from what weve 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 builderor 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 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 Years Day
Paid time off and the option to purchase additional vacation time.

This position is a salary grade 6-7 and ranges from $85400-$166600.

Final determination of salary grade will be based on candidates skills and experience and base salary will be set within the applicable range according to job scope responsibility and competitive market value.

For more information on salary and benefits click here: sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race religion color age sex national origin sexual orientation gender identity disability status or protected veteran the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

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