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.

In this position...

FCSA (Ford Customer Service Analytics) team, part of Sales and Services Data and Analytics (SSDA) department in Ford’s Global Data, Insight and Analytics (GDI&A) organization, is looking for a highly skilled Data Scientist. This role will be responsible to join the RAV (Re-Acquired Vehicle) analytics team supporting all stages of RAV analysis from problem formulation, model /analytical framework development, evaluation, to model deployment to help Ford and FCSD achieve RAV objectives.

The FCSA RAV Analytics team applies advanced quantitative methods and systematic econometrics and AI/ML /LLM models to derive insights and solve a wide variety of challenging problems in various area of FCSD: forecasting, root cause analysis, quality action effectiveness on RAV, VOR/uptime, early quality detection…through analyzing vast amounts of data including RAV, quality, repair orders, repeat visits, parts order and supply, service, warranty claims, recall…etc. The deep-dive and advanced analytics/quantification analysis led by this supervisor will be instrumental in supporting FCSD's business objectives and transformation through data-driven decision-making.

What you'll do…

• Support regional CSM (Customer Satisfaction Model) framework design/development, model maintenance, model enhancement, and daily monitoring using Looker/Data Studio
• Support annual volume forecasting for key business metrics, taking into consideration factors such as brand, fuel type, launch type, new car sales, and macro environment, among other contributing sources
• Support root cause analysis by studying repair order and warranty claim history to derive and identify potential drivers/trends impacting service quality
• Conduct deep-dive analyses to help identify early indicators of emerging issues and uncover/provide insights to business teams to prevent or reduce negative outcomes
• Conduct quick turn-around studies to answer frequent/various/urgent business requests by mining, managing, and exploring a variety of data sources and extracting/deriving insights from structured and unstructured data sets that are often very large and high-dimensional
• Explore/apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operations research/optimization, and AI/ML/LLM techniques to a variety of real-world business problems within FCSD, focusing on improving overall service quality
• Ensure overall quality of the data and solutions throughout the analytics development process
• Maintain and enhance existing quantitative models supporting FCSD daily decisions
• Integrate validation results and visualize analysis/prediction outcomes through visualization tools to provide qualitative/quantitative overviews
• Interact/collaborate effectively cross-functionally with architects, project managers, data engineers, software engineers, and other data scientists to test data and model pipelines, validate pipeline output, and ensure successful model launch into production to maximize business value delivery
• Independently communicate and present/interpret models and analytical results to business/non-technical stakeholders, cross-functional teams, and leadership on a daily basis

You'll have...

• Master’s degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field or a combination of education and equivalent work experience
• 3+ years of hands-on experience on a broad range of analytical techniques including forecasting, regression, and AI/ML/LLM methodologies
• Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. 3+ years of proficient experience in training, evaluating, and fine-tuning a variety of machine learning models, ensuring optimal performance and reliability
• 3+ years of experience and proficient in programming languages such as Python for data manipulation, analysis, and model development
• 3+ years of experience in processing large, high-dimensional structured and unstructured data, including thorough data preprocessing, data cleaning, and feature engineering to prepare datasets for model training and evaluation

Even better, you may have…

• Ph.D. in a quantitative field such as Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field
• 3+ experience GCP (Google Cloud Platform): Vertex AI, Big Query, GCS (Google Cloud Storage), Google Cloud SQL, Looker studio
• 3+ year of post-graduate work experience in auto industry involving complex quantitative analytics and modeling
• 5+ years of work experience with Python and SQL
• 5+ years of work experience in big data manipulation, statistical analysis, modeling, optimization, AI/ML/LLM…
• Curious, high level of initiative, detail-oriented and ability to multi-task
• Fast learning in theoretical modeling and coding
• Strong problem formulation and problem solving skills
• Comfortable working in an environment where problems are not always well-defined

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 and ranges from $85,400-$192,900.

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

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At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.