Data Scientist

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

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.

You'll have...

Master’s degree or foreign equivalent in Electronic Engineering, Data Analytics or related field and 4 years of experience in the job offered or related occupation. 4 years of experience with each of the following skills is required: 1. Applying Python (including Pandas, SciPy, Scikit-learn, NLTK, Keras, TensorFlow, and Statsmodels) as the primary language for data manipulation, statistical modeling, and developing machine/deep learning solutions using large-scale datasets from automotive manufacturing processes, vehicle telematics, quality control systems, or supply chain operations. 2. Creating, developing and implementing Machine Learning & Deep Learning models to solve critical problems specific to automobile manufacturing, including predictive maintenance for factory equipment or vehicles, predicting production quality issues, optimizing assembly line efficiency, or analyzing complex sensor data from production or vehicle systems. 3. Utilizing SQL for data mining to query and extract data from large relational databases containing manufacturing data, supply chain information, warranty claims data, or vehicle performance logs to support analysis and modeling activities. 4. Employing statistical methods, including Regression analysis, Bayesian analysis, and ANOVA, to analyze manufacturing process variability, quality control metrics, engineering test outcomes, and operational data, providing statistical insights for production optimization and decision-making. 5. Utilizing Cloud computing platforms including AWS and GCP, or scalable storage, processing, and analysis of large-scale automotive datasets (vehicle sensor data streams and production logs) and deploying data science solutions within a manufacturing or related operational context. 6. Developing and evaluating A/B and multivariate tests to assess the impact of changes to manufacturing processes, internal systems (logistics and quality checks), or vehicle software features on key performance indicators within an automotive environment. 3 years of experience with each of the following skills is required: 1. Utilizing Natural Language Processing (NLP) techniques to analyze unstructured text data from sources critical to automotive operations, including manufacturing defect reports, warranty claims descriptions, maintenance logs, or customer feedback related to vehicles or production issues.

We are offering a salary of $128,710.00 - $182,338.56/yr.

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 the above? No matter what you choose, we offer a work life that works for you, including:

#LI-DNI

#DNP

undefined