Remote Data Science 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.

Ford is looking for an experienced Sr. Product Manager to shape the strategy, definition, and delivery of actionable vehicle health insights for Ford and Lincoln connected vehicles. In this role, you will bridge the gap between technical data analysis, advanced ML models, and tangible business value. You will own key areas of the product lifecycle from identifying customer pain points to defining product strategy and partnering with cross-functional teams to deliver impactful intelligence.

The ideal candidate will be highly resilient, data-driven, and obsessed with product quality, understanding that trust is paramount when delivering vehicle health alerts. You will combine first-principles thinking, statistical analysis, and deep customer empathy to transform raw vehicle signals into proactive alerts that enhance vehicle uptime and drive revenue opportunities across our retail and commercial fleet businesses. 

This position is hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location or remote for non-local candidates. #LI-Hybrid #LI-Remote
 

You'll have...

• Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
• 8+ years of experience in technical product management, with a track record of launching and scaling data-intensive or AI/ML-driven products.
• Experience writing detailed product requirement documents (PRDs) for complex, data-heavy features.
• Demonstrated fluency in data analytics and data science principles. You don't need to build the models, but you must understand how they are built, validated, and what can go wrong.
• Hands-on experience with data exploration and validation; proficiency with SQL is essential.
• Proven ability to define and manage a portfolio of product quality and business metrics. You can not only define Precision/Recall but can explain the business impact of choosing one over the other.

Even better, you may have...

• A deep passion for or direct experience in the vehicle architecture, Telemetry and Fleet Management. 
• Ability to drive strategic adoption of AI-driven tools, building product roadmaps that prioritize practical, high-value outcomes and experiences over technology.

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 leadership level 6 and ranges from $132,800-$250,800.     
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/LL6

Visa sponsorship is not 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 (onsite four days per week) for candidates who are in commuting distance to a Ford hub location or remote for non-local candidates. #LI-Hybrid #LI-Remote

#LI-SC3 

What you'll do...

• Own the end-to-end product strategy and lifecycle for vehicle health insights, from identifying high-impact opportunities to ensuring successful delivery and adoption.
• Define and implement robust validation approaches, creating statistical benchmarks to rigorously measure and prove the accuracy of our machine learning models.
• Establish critical product quality metrics and confidence thresholds to determine when vehicle health insights are ready for production release to customers, dealers, or fleet managers.
• Partner closely with Data Science and Engineering teams, translating complex business needs into pitches, detailed product requirement documents (PRDs) and technical roadmaps.
• Articulate the value, capabilities, and limitations of our predictive models to business leaders, non-technical stakeholders, and external partners. Familiarity with AI, emerging technologies and how to apply them.
• Drive all data privacy approvals for new features by collaborating with Engineering and the Office of the General Counsel (OGC) to ensure data pipelines adhere strictly to legal requirements.
• Make informed prioritization decisions based on data analytics, customer feedback, and business impact to maximize vehicle uptime and improve the customer experience.  
• Manage weekly, and monthly product/business reporting