Ppco Data Analytics – Systems & Data Analytics

General Motors

Warren, MI, USA
Hybrid
Data engineering
Etl/elt pipelines
Exploratory data analysis (eda)
The Program and Purchase Cost Optimization (PPCO) team at General Motors is seeking a highly motivated and technically skilled Data Analytics engineer to lead analytics initiatives that enable product and program level cost optimization

Job Summary

  • The Program and Purchase Cost Optimization (PPCO) team at General Motors is seeking a highly motivated and technically skilled Data Analytics engineer to lead analytics initiatives that enable product and program level cost optimization.
  • You will work with data from across the GM ecosystem, identifying interconnections between multiple enterprise applications from different functional areas and designing scalable data structures and pipelines.
  • General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.

Matching Summary

The Program and Purchase Cost Optimization (PPCO) team at General Motors is seeking a highly motivated and technically skilled Data Analytics engineer to lead analytics initiatives that enable product and program level cost optimization.

Skills & Requirements

Must-have

  • Data Engineering
  • ETL/ELT pipelines
  • Exploratory Data Analysis (EDA)
  • Predictive Modeling
  • Python proficiency
  • SQL proficiency
  • Databricks/Spark experience

Nice-to-have

  • Automotive data experience
  • Manufacturing data experience
  • Engineering data experience
  • Advanced ML/AI techniques

Key Requirements

  • 5+ years as a data scientist / research scientist / ML engineer (or ~2 years with MS)
  • Bachelor’s degree in computer science, engineering, statistics, mathematics, physics, or a related quantitative field
  • Ability to translate ambiguous business questions into well-defined analytical and data engineering problems

Work Rights

Not specified

Tailored Resume

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