Data Scientist Statistician Lead - Product Safety Data Analytics

General Motors Australia & New Zealand

Warren, United States
Hybrid
Applied statistics and ai/ml
End-to-end data science lifecycle
Python, r, sql programming
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 for continuously monitoring emerging safety issues and integrate the latest solutions.
  • Prototype new AI solutions, including Generative AI and Agentic AI, to solve business problems and streamline processes.

Matching Summary

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

Skills & Requirements

Must-have

  • Applied statistics and AI/ML
  • End-to-end data science lifecycle
  • Python, R, SQL programming
  • Anomaly detection and root cause analysis
  • Generative AI and LLM prototyping
  • Communicating data-driven stories

Nice-to-have

  • Deep knowledge of GM's Data Ecosystem
  • Expertise in vehicle development
  • Strong business acumen
  • Ability to work in ambiguous workspace
  • Relentless focus on data-driven transformation

Key Requirements

  • 8+ years of work experience
  • M.S. in a quantitative discipline
  • Strong background in statistical data analyses
  • Demonstrated experience in large-scale data analytics
  • Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
  • Machine Learning & AI: LLMs, Generative AI, RAG, Reinforcement Learning, NLP
  • Data Engineering: Databricks, SQL, Data Pipelines

Work Rights

Not specified

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