Data Insight Jobs in Michigan (NOW HIRING)

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.

You'll have... 

• 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).

Even better, you may have... 

• 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.

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 $74,300-$124,500., This position is a salary grade 7 and ranges from $86,600-$144,900., This position is a salary grade 8 and ranges from $99,100-$166,200.      
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. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid

    #LI-SC3 
 

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.