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.Â
This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. – We value being Smart. Nice. Curious. Communicative.
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.
We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners. We seek to provide the thought leadership essential to achieving Ford’s strategic objectives. We translate insight into action by driving toward robust points of view, timely decisions and responsible allocation of enterprise resources.
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