Data Scientist - Supply Chain Analytics

Ford Motor CompanyDearborn, MI
33dHybrid

About The Position

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. Want to help drive the future of automotive supply chain operations? Join Ford's Supply Chain Analytics team! As a Data Scientist, you'll work with a curious, proactive, and creative team that's critical to Ford's success. By leveraging advanced data analytics and the latest tools, you'll solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of our company. If you're passionate, knowledgeable, and highly motivated, we want you on our team! This is a hybrid position, with requirement to be in office 4 days a week.

Responsibilities

  • Drive improvements in Ford's supply chain operations through big data analysis and modeling
  • Develop innovative tools that translate complex business problems into actionable data science solutions for key stakeholders
  • Leverage cutting-edge technologies such as Google Cloud Platform (GCP) to support more informed decision-making
  • Execute digital transformation projects to improve supply chain operations
  • Deliver tangible value for customers and stakeholders through data-driven insights and solutions
  • Perform data exploration, feature engineering, and data preprocessing to prepare diverse datasets for model training and evaluation.
  • Communicate complex analytical findings and technical concepts clearly and concisely to both technical and non-technical stakeholders.
  • Stay abreast of the latest advancements in machine learning, deep learning, and LLM research, and actively propose new technologies and methodologies to enhance our capabilities.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Transportation Equipment Manufacturing

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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