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Ford Motor Company

Data Scientist – Supply Chain Analytics

Ford Motor Company

Data Scientist focusing on supply chain analytics at Ford Motor Company. Design analytical solutions and collaborate with internal teams to drive decision-making with data.

Posted 6/9/2026full-timeRemote • Missouri • 🇺🇸 United StatesJuniorMid-Level💰 $66,102 - $186,624 per yearWebsite

Tech Stack

Tools & technologies
HadoopPySparkPythonSQL

About the role

Key responsibilities & impact
  • Design analytical solutions that harness internal and external data, leveraging visualizations, predictive analytics, and prescriptive methods.
  • Collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, and logistics to define problems, identify data, and develop machine learning algorithms.
  • Evaluate large, complex data sets using SQL, Hadoop, Alteryx, Python, R, and sophisticated statistical and machine learning techniques.
  • Develop business solutions using data acquisition, data engineering, programming, and visualization skills, designing intuitive user interfaces.
  • Ensure the overall quality of data solutions throughout the analytic development process.

Requirements

What you’ll need
  • Bachelor’s degree or foreign equivalent in Computer Science, Data Science, Statistics, Chemistry or a related field and 2 years of experience in the job offered or related occupation.
  • 2 years of experience with machine learning algorithms for business requirements using PySpark.
  • 2 years of experience with natural language processing from pure text data for pattern recognition or predictive analytics to help supply chain group predict future trends.
  • 2 years of experience with at least 5 of the following skills: linear regression, logistic regression, generalized linear regression, time series forecasting models, decision tree, regression tree, or random forest.
  • 1 year of experience with data modeling and optimization, translating business cases into mathematical/statistical problems.
  • 1 year of experience translating automotive business problems into mathematical representations and predictive models.
  • 1 year of experience with Python statistical software packages.
  • 1 year of experience using SQL and Python for data acquisition, transformation, cleaning, and other data wrangling challenges.
  • 1 year of experience working in a connected vehicle environment, including VIN-related vehicle attributes and hands-free driving analytics.

Benefits

Comp & perks
  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learning algorithmspredictive analyticsprescriptive methodsdata engineeringdata acquisitiondata modelingnatural language processinglinear regressionlogistic regressiontime series forecasting