Job Description

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.

In this position...

We are seeking a Data Scientist for the EV Core Experience team within the Global Data Insights & Analytics (GDIA) organization's Strategy & Enterprise Analytics (SEA) team. Our team develops innovative, cloud-native AI and analytics solutions that optimize the electric vehicle lifecycle and enhance core engineering processes. We focus on delivering high-impact data products that leverage vehicle telematics, advanced machine learning, and generative AI to solve complex challenges across EV performance, energy management, and engineering design automation.

As a Data Scientist, you will be a key player in bridging the gap between complex data streams, engineering requirements, and actionable AI solutions that drive Ford’s EV leadership

Based in Allen Park, MI, this is a hybrid position with a required four-day onsite presence each week

What you'll do...

• Acquire a deep understanding of complex engineering and business problems and translate them into scalable AI/ML solutions.
• Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google Cloud Platform (GCP).
• Act as a full-stack data scientist to develop and deliver advanced analytics models, including forecasting, anomaly detection, optimization, LLM, and more.
• Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and production-level model development.
• Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
• Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences

You'll have...

• Master's degree (M.S.) in Data Science, Computer Science, Industrial & System Engineering, Mechanical Engineering, or a related quantitative field or equivalent combination of relevant education and experience.
• 2+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment. Equivalent experience gained through internships or specialized coursework may be acceptable
• 2+ years of experience in cloud, GCP preferred, with solutions designed and implemented at production scale. Equivalent experience gained through internships or specialized coursework may be acceptable.
• 2+ years of experience in advanced modeling, optimization, operational research Equivalent experience gained through internships or specialized coursework may be acceptable.

Even better, you may have...

• Ph.D. in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
• Expertise in SQL for data querying, manipulation, and database interaction.
• Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
• Excellent oral, written, and interpersonal communication skills.
• Experience working with Terraform to provision Infrastructure as Code.
• Experience in the electrification and/or transportation domain, specifically regarding battery chemistry or vehicle powertrain systems.
• Experience in forecasting algorithms, anomaly detection algorithms, multi-objective optimizations, or physics-informed neural networks.
• Experience in Generative AI, including a strong understanding of ML frameworks, algorithms, and practical implementation.
• Experience in time-series forecasting, physics-informed neural networks, or multi-objective optimization.
• A record of publications or presentations in recognized journals or conferences.
• Inquisitive, proactive, and interested in learning new tools and techniques.
• Comfortable working in a fast-paced and innovative 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 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
• 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 7 or 8 and ranges from $99,600- 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.

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