Data Scientist

Ford Motor Company • Concord, NH • 18h ago

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

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.

This position is hybrid. and candidates are required to be onsite four or more days per week.

Visa sponsorship & Relocation is not available for this position.

Strategic Impact and Influence: As a Data Scientist within GDI&A, you will serve as an independent business advisor, providing critical insights and risk assessments that directly inform Ford's long-term business planning and decision-making processes. Your work will influence multi-billion dollar vehicle lines, pricing strategies, and production volumes.

Position Description :

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

Required

Masters degree in quantitative field i.e. Statistics / Data Science / Mathematics / Economics / Physics etc.

3+ years 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.

Ability to 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

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

Automotive experience is a plus

Capability 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

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.

For more information on salary and benefits, click here: https://fordcareers.co/GSRSP2

This position is a range of salary grades 7-8 .

Visa sponsorship & 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. 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

Requisition ID : 50011

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