As a Data Scientist at Ford, you will serve as a domain expert in at least one core data science discipline (e.g., NLP, Generative AI, Computer Vision, forecasting, or prognostics), applying deep hands-on expertise to tackle challenging business problems where standard methods fall short. You'll design and deliver production-grade solutions, lead methodology and tooling decisions, and partner closely with business stakeholders to translate complex data insights into strategic direction.
You will interact directly with manufacturing personnel to identify data sources and understand key process details, performing data exploration to formulate hypotheses and developing models that deliver actionable insights back to the manufacturing floor. You'll collaborate closely with Data Engineers and Software Engineers to design and develop applications consistent with standard development methods and milestones, and support the deployment of these applications within the manufacturing process through rigorous model verification and hands-on training of end users. Once deployed, you'll continue to support these applications by resolving issues that arise during use and enhancing them based on ongoing user feedback.
Beyond individual technical excellence, you'll mentor and oversee the work of junior and mid-level data scientists, champion best practices across the team, and help shape Ford's broader data-driven culture and roadmap.
Responsibilities- Design and deliver production-grade data science solutions for complex business problems, independently driving key business outcomes.
- Partner with business stakeholders to define data-driven strategy and align the DS roadmap.
- Lead reviews of DS work (methodology, code, and results), establishing review standards for projects.
- Mentor others across the team on advanced DS topics and contribute to Ford's internal knowledge base.
- Influence organizational priorities through data insights, identify strategic opportunities for data-driven value creation, and manage stakeholder expectations while championing a data-informed culture.
- Bachelor's or foreign equivalent degree in mechanical engineering, electrical engineering, electronics engineering, computer engineering, aerospace engineering, auto engineering or a related field
- Master's or foreign equivalent degree in analytics, data science or statistics
- 2 years' experience in application of Generative AI, Computer Vision, forecasting, or prognostics/prediction
- 2 years of experience in software development using Python & SQL
- 1 year of experience developing dashboards using commercial products such as Power BI, Tableau, Qlik
- Experience with advanced cloud platforms for scalable, production-ready ML operationalization preferred
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 series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or 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 Year’s Day
• Paid time off and the option to purchase additional vacation time.
This position is a salary grade 6 and ranges from $85,400-$192,900.
Final determination of salary grade will be based on candidate's 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: https://fordcareers.co/GSR
Visa 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 status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid with a requirement to be onsite four or more days per week.
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About UsAt Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.About the TeamWe are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners. We seek to provide the thought leadership essential to achieving Ford’s strategic objectives. We translate insight into action by driving toward robust points of view, timely decisions and responsible allocation of enterprise resources.Skills Required
- Bachelor's degree in mechanical, electrical, electronics, computer, aerospace, auto engineering or related field (or foreign equivalent).
- Master's degree in analytics, data science, or statistics (or foreign equivalent).
- 2 years' experience applying Generative AI, Computer Vision, forecasting, or prognostics/prediction.
- 2 years of software development experience using Python and SQL.
- 1 year developing dashboards using commercial products such as Power BI, Tableau, or Qlik.
- Experience with advanced cloud platforms for scalable, production-ready ML operationalization.
- Legally authorized to work in the United States; verification of employment eligibility required at hire.
- Hybrid work requirement: onsite four or more days per week.
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Healthcare Strength — Medical, dental, and vision coverage start on day one with options that include zero-premium plans, free mental health support, and wellness resources. For represented hourly employees, health plans are described as low-cost with strong coverage value.
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Retirement Support — A 401(k) with company match and additional company contributions is available from day one, alongside life and disability coverage. Pension eligibility in certain situations and financial-planning support reinforce long‑term security.
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Parental & Family Support — Paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp‑up program for returning parents, reflect a family‑focused package. Flexible Family Care days and generous time‑off options help address short‑term caregiving and personal needs.
Ford Motor Company Insights
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.








