Lead Engineer - Device Level Analytics

gmoshawa.ca

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Python or object-oriented programming
Data analysis and insights
Statistical techniques and ai/ml/genai
** The Lead Engineer - Device Level Analytics position at General Motors requires a candidate with extensive experience in data analytics within the automotive industry, including proficiency in Python and IoT solutions. The role involves collaboration with various teams to derive actionable insights from data, enhance manufacturing processes, and present findings using data visualization techniques. **

Job Summary

  • Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results.
  • Analyze datasets to identify trends and patterns, interpret and communicate insights to various teams and leaders to enhance and streamline processes.
  • Apply manufacturing domain knowledge and IoT knowledge to develop proof of concepts to address complex manufacturing challenges.

Matching Summary

Match Score: 75

** The Lead Engineer - Device Level Analytics position at General Motors requires a candidate with extensive experience in data analytics within the automotive industry, including proficiency in Python and IoT solutions. The role involves collaboration with various teams to derive actionable insights from data, enhance manufacturing processes, and present findings using data visualization techniques. **

Skills & Requirements

Must-have

  • Python or object-oriented programming
  • Data analysis and insights
  • Statistical techniques and AI/ML/GenAI
  • Data pipelines, PowerBI, SQL, Git, Databricks
  • Azure cloud services and DevOps/MLOps/LLMOps
  • IoT data collection methods
  • Manufacturing domain knowledge

Nice-to-have

  • Automotive production processes
  • Industrial automation and throughput analysis
  • Agile project management
  • Cross-cultural collaboration
  • Creativity in problem-solving

Key Requirements

  • Masters / Degree in relevant field
  • 10+ years of experience
  • Proficiency in Python or OOP
  • Expertise in data analysis
  • Experience with data pipelines, PowerBI, SQL, Git, Databricks, Azure
  • Familiarity with IoT data collection
  • Familiarity with automotive production processes

Work Rights

Not specified

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