Data Scientist, Long-Term Forecast Analytics

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.

We are seeking an experienced Data Scientist to join our Long-Term Forecast Analytics with Ford Motor Company.

• Develop and analyze future vehicle pricing and volume forecasts against business plans and scenarios, providing recommendations for effective decision-making.

• Create compelling visual representations of data, leveraging effective data storytelling and insights to persuade business partners to act on recommendations.

• Collaborate frequently with peers and business partners on diverse data analysis, studies, and projects.

• Continuously seek improved approaches and methodologies to evolve our advisory support as the business navigates an ever-changing industry landscape.

• Utilize advanced modeling and simulation techniques to generate modeling scenarios to support strategic business decisions, optimizing the performance of Ford Business Units

• Apply attribution modeling, statistics, optimization, operation research, machine learning, and other advanced techniques to solve real-world business problems

• Develop analytical methodologies and specify data requirements by translating business phenomena into appropriate mathematical/regression equations

• Use ‘outside the box’ thinking and modeling to answer difficult questions in an environment with little information and resources

Minimum Qualifications:

• Education: Graduate Degree in quantitative field (i.e. Statistics, Data Science, Mathematics, Economics, Physics, etc.)

• 3+ years of experience with statistical analysis, data visualization (ex: QlikSense, Tableau, Power BI), data modeling, or optimization.

• Expertise using statistical software (R/Python, etc.), query languages or software, such as Big Query, SQL, Hadoop/Hive, Alteryx along with Microsoft Office programs, especially Excel and PowerPoint.

• Work with the customer to determine the underlying business question / need

• Be able to quickly convert a real business question into a solvable modeling problem, sort out relevant information, and judge the solution against business reality

• Apply business acumen to the problem and solution vs. a solely data-based approach

• Familiarity with Ford’s vehicles, attention to detail, time management, willingness to learn, ability to handle multiple projects at a time, excellent communication and data presentation skills

• Enabling Ford to keep competitive advantage in terms of state-of-the art business modeling and advanced analytical capabilities

Preferred Qualifications:

• Education: Ph.D. in Statistics, Economics, Applied Mathematics, or similar field

• Automotive experience is a plus

• Capable of carrying out independent technical work in close collaboration with business partners is a plus

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

• Paid parental leave, new parent ramp-up programs, subsidized back-up childcare 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

• Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day

This position is a salary grade 7 and ranges from $99,600-$166,600.   
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.
Internal applicants: moving into this role may result in an adjustment to your current compensation based on the posted pay range for this role, taking into consideration your qualifications and other relevant factors.
For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Domestic relocation 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 with a requirement to be onsite four or more days per week.

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