Data Scientist Statistician Lead - Product Safety Data Analytics

General Motors

Warren, United States
Hybrid
Applied statistics
Ai/ml
Python, r, sql
Lead the development of scalable solutions to identify and analyze potential emerging vehicle safety issues

Job Summary

  • Lead the development of scalable solutions to identify and analyze potential emerging vehicle safety issues.
  • Develop and standardize best practices of continuously monitoring emerging safety issues for use in safety hazard monitoring.
  • Prototype new AI solutions, including Generative AI, to solve business problems.

Matching Summary

Lead the development of scalable solutions to identify and analyze potential emerging vehicle safety issues.

Skills & Requirements

Must-have

  • applied statistics
  • AI/ML
  • Python, R, SQL
  • anomaly detection
  • Generative AI
  • Large Language Models (LLMs)

Nice-to-have

  • data-driven story telling
  • business acumen
  • organizational expertise
  • vehicle safety technologies

Key Requirements

  • 8+ years of work experience
  • M.S. in a quantitative discipline
  • Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
  • Machine Learning & AI: LLMs, Generative AI, RAG, Reinforcement Learning, NLP, Decision Trees, Clustering
  • Data Engineering: Databricks, SQL, Data Pipelines, Data Preprocessing & Feature Engineering

Work Rights

Not specified

Tailored Resume

Cover Letter