The PPCO team at General Motors focuses on cost optimization through robust data engineering, exploratory data analysis, and predictive modeling across multiple enterprise systems
Job Summary
The PPCO team at General Motors focuses on cost optimization through robust data engineering, exploratory data analysis, and predictive modeling across multiple enterprise systems.
This role involves designing scalable data structures and pipelines, performing in-depth data analysis, and developing predictive models to improve vehicle profitability and program performance.
General Motors offers a culture of inclusion and belonging, supports employee well-being from day one, and is committed to non-discriminatory employment practices.
Matching Summary
The PPCO team at General Motors focuses on cost optimization through robust data engineering, exploratory data analysis, and predictive modeling across multiple enterprise systems.
Skills & Requirements
Must-have
Data engineering and ETL/ELT pipelines
Exploratory data analysis (EDA)
Predictive modeling with classical ML techniques
Advanced Python and SQL proficiency
Experience with Databricks and Spark
Design and maintain data models
Cross-functional collaboration
Nice-to-have
Automotive or manufacturing data experience
Exposure to advanced ML/AI techniques
Hybrid work environment
Strong problem-solving skills
Ability to translate business questions to data problems
Key Requirements
Bachelor’s degree in quantitative field
5+ years data science or ML engineering experience
Advanced Python and SQL skills
Experience with cloud-based data platforms
No immigration sponsorship available
Hybrid work with minimum 3 days onsite in Warren, MI
Work Rights
Must have valid US work authorization without sponsorship