Data Scientist Statistician Lead - Product Safety Data Analytics

General Motors Australia & New Zealand

Hybrid
End-to-end data science lifecycle
Ai and machine learning
Advanced statistical analysis
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 new Agentic AI solutions to streamline business processes and prototype new AI solutions, including Generative AI.
  • You will be part of a highly collaborative team that values growth, creativity, and a relentless focus on data-driven business transformation.

Matching Summary

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

Skills & Requirements

Must-have

  • end-to-end data science lifecycle
  • AI and machine learning
  • advanced statistical analysis
  • Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
  • Large Language Models (LLMs), Generative AI, RAG, Reinforcement Learning, Natural Language Processing, Decision Trees, Clustering
  • Databricks, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
  • communicate results and methodologies to executive leadership

Nice-to-have

  • data-driven business transformation
  • innovative data scientist/statistician
  • technical leader
  • strong business acumen
  • organizational expertise
  • vehicle safety technologies

Key Requirements

  • 8+ years of work experience in applied statistics, AI/ML, engineering, data science, or a related field
  • M.S. in a quantitative discipline (Statistics, Mathematics, Econometrics, Operations Research, or other relevant degree)
  • Strong background in varied statistical data analyses
  • Strong background in anomaly detection, diagnostics and prognostics, root cause analysis
  • Demonstrated experience in large-scale data analytics

Work Rights

Not specified

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