Data Scientist at Ford Motor Company in Remote

• 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.

Required Qualifications

• 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).