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

What you’ll do…

• Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations
• Work with large, complex data sets using tools such as SQL, BigQuery, and Python
• Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.
• Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and feature engineering
• Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
• Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers
• Develop trust with stakeholders and peers by delivering results on time
• Ensure overall quality of the data & solutions throughout the development process

• Provide training and maintenance of implemented tools to business partnersCollect feedback from business users and continuously improve analytic products

• Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations
• Work with large, complex data sets using tools such as SQL, BigQuery, and Python
• Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.
• Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and feature engineering
• Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
• Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers
• Develop trust with stakeholders and peers by delivering results on time
• Ensure overall quality of the data & solutions throughout the development process
• Provide training and maintenance of implemented tools to business partnersCollect feedback from business users and continuously improve analytic product