Ford Motor Company

Data Scientist

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Mason • California • Missouri • United States

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Tech Stack

CloudGoogle Cloud PlatformPythonPyTorchSQLTensorflow

About the role

  • Design and deliver end‑to‑end data science solutions, from problem formulation through modeling, evaluation, and deployment support.
  • Develop and evaluate machine learning models (e.g., classification, anomaly detection, forecasting, NLP) for quality and reliability use cases.
  • Build LLM‑enabled applications, including prompt‑based systems, RAG pipelines, and hybrid ML + LLM solutions.
  • Leverage Knowledge Graphs and graph‑based techniques to integrate structured and unstructured data.
  • Implement data and ML workflows on cloud platforms, preferably Google Cloud Platform (GCP).
  • Write high‑quality, reproducible, and maintainable code and collaborate with cross‑functional stakeholders.

Requirements

  • Master’s degree (required) in Data Science, Machine Learning, Statistics, Computer Science, Industrial Engineering, or related field.
  • 2+ years of experience delivering production‑relevant ML or advanced analytics projects.
  • 2+ years of experience using Python and common ML/DS libraries (e.g., scikit‑learn, PyTorch/TensorFlow, SQL).
  • 2+ years of hands‑on experience in machine learning model development, experimentation, and evaluation.
  • 2+ years of experience applying or integrating Large Language Models (LLMs) into real analytics workflows.
  • 2+ years of experience working with cloud‑based data and ML platforms, preferably GCP.
  • Preferred Qualifications
  • PhD in Data Science, Machine Learning, Statistics, Computer Science, Industrial Engineering, or related field.
  • Experience with Knowledge Graphs, graph databases, or graph‑augmented ML/LLM systems.
  • Familiarity with RAG architectures, vector search, or hybrid retrieval systems.
  • Experience in quality, warranty, manufacturing, or industrial analytics.
  • Exposure to MLOps practices (CI/CD, model monitoring, retraining).
Benefits
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata sciencePythonscikit-learnPyTorchTensorFlowSQLLarge Language ModelsKnowledge GraphsMLOps
Soft Skills
collaborationproblem formulationevaluationcommunicationcross-functional teamwork
Certifications
Master’s degree in Data SciencePhD in Data Science