Job Description

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.

What You'll Do:

The Ford Customer Service Analytics (FCSA) team, part of Sales and Services Data & Analytics (SSDA) within Global Data, Insight & Analytics (GDI&A), is hiring a Data Scientist for the Re?Acquired Vehicle (RAV) platform. This platform accelerates and automates RAV insights for the Ford Customer Service Division (FCSD) to help reduce RAV spend and improve service quality. You'll partner with data engineers and business stakeholders to uncover patterns in large, complex datasets, build dashboards/models, and deliver decision intelligence across the RAV ecosystem.

Qualifications:

Master's degree in Statistics, Data Science, Econometrics, Engineering, Physics, or a related quantitative field; or equivalent combination of education and experience 3+ years of Python experience for data manipulation, analysis, and model development 3+ years working with large, high?dimensional structured and unstructured data, including preprocessing, cleaning, and feature engineering 1+ year experience working with Power BI. Ability to build and publish dashboards and reports; create clean visuals and basic measures; model simple datasets; and manage refresh/scheduled updates 1+ years of hands?on experience with analytical techniques such as forecasting, regression, and machine learning (including deep learning, neural networks, and ensemble methods), including training, evaluation, and fine?tuning Experience using Generative AI (e.g., Gemini/LLMs) to derive insights, automate analysis, or enhance decision intelligence

Preferred qualifications

PhD or additional graduate research in a quantitative field 3+ years of experience with Google Cloud Platform (e.g., BigQuery, Vertex AI, Dataflow, Cloud Storage, Cloud SQL) and Looker Studio 5+ years of experience with Python and SQL 5+ years of experience in big data manipulation, statistical analysis, modeling, optimization, and AI/ML/LLM development 2+ Years experience in Power BI. Dimensional modeling (star schemas), DAX and Power Query/M, performance tuning, row-level security and deployment pipelines Prior automotive industry experience involving complex quantitative analytics and modeling Strong problem formulation and problem?solving skills; comfortable with ambiguity Curious, proactive, detail?oriented; able to context switch and manage multiple priorities; fast learner in both theory and coding

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 - 8.


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


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. 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


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Responsibilities:

Undertake statistical modeling, predictive analytics, and insight generation for the RAV platform Perform deep?dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights Execute quick?turn studies for urgent business questions by mining, managing, and exploring large, high?dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls) Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value * Communicate, present, and interpret analytical results to non?technical audiences, cross?functional teams, and leadership on a regular basis