Senior Data Scientist

Senior Data Scientist

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.

In this position, we are looking for a Senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar.

Strong critical thinking skills and a desire to work with users and deeply understand the data are essential. We value being Smart, Nice, Curious, and Communicative.

• Bachelor’s degree in engineering, Statistics, Data Science, Computer Science, Economics, Mathematics, Operations Research or a related quantitative discipline.
• 5+ years of experience using statistics and machine learning for gaining insights from data.
• 5+ years of experience using Python, SQL or Big Query for acquiring and transforming data.
• 5+ years of experience with real‑world data, data cleaning, data collection, or other data wrangling challenges.
• Experience with sampling and sample assessment techniques when data are not ideal, including statistical design of experiments, factorial experimental design, Latin hypercube sampling, and others.
• Comfortable working in an environment where problems are not always well‑defined.
• Well‑organized, a self‑starter, independent, and ready to work with minimal supervision.
• A respectful and committed teammate, willing to excel and work with talented people.
• Inquisitive, proactive, and interested in learning new tools and techniques.
• Proven quantitative modeling and statistical analysis skills.

• Masters or PhD in a quantitative field such as Statistics, Computer Science, Engineering, Economics, Mathematics, or Data Science.
• Knowledge of cost modeling, product design (hardware), mechanical engineering or similar.
• Experience deploying Machine Learning in production (ideally MLOps) for internal or external use.
• Experience with Google Cloud Platform (GCP) or other cloud systems.
• Strong oral, written, and interpersonal communication skills.
• Ability to effectively advocate technical solutions to peer, management and business audiences.

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!

• 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, 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, :

This position is a range of salary grades 6-8.

Visa sponsorship is available for this position.

Candidates 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…