Data Analysis Senior Engineer – Structure Simulation

Caterpillar of Australia

Champaign, IL, US
Base: $112,710.00 - $169,060.00; bonus/equity: inc...
Onsite
Finite element analysis (fea)
Machine learning models for load estimation
Python for data processing
Build and deploy machine learning models to estimate loads, strains, and damage/life predictions using scikit-learn

Job Summary

  • Build and deploy machine learning models to estimate loads, strains, and damage/life predictions using scikit-learn.
  • Create dashboards and visualizations to explore large datasets and identify root causes of structural issues related to application severity using Power BI and Tableau.
  • Automate data processing and analysis workflows for high-frequency time-series telematics data with robust version control and development practices using Python, Git, GitHub, Azure DevOps Repos, and VS Code.

Matching Summary

Build and deploy machine learning models to estimate loads, strains, and damage/life predictions using scikit-learn.

Salary

Base: $112,710.00 - $169,060.00; Bonus/Equity: Incentive bonus; Benefits: Medical, dental, vision, PTO, 401(k), HSA, FSA, etc.

Skills & Requirements

Must-have

  • Finite Element Analysis (FEA)
  • Machine learning models for load estimation
  • Python for data processing
  • SQL database management
  • Power BI, Tableau for visualization
  • Git, GitHub, Azure DevOps Repos

Nice-to-have

  • Problem solving and technical leadership
  • Communication and collaboration skills
  • Continuous innovation and learning

Key Requirements

  • Bachelor's or advanced degree in Engineering
  • Expert in FEA, fatigue and durability modeling
  • Proficient in machine learning for life prediction
  • Experience with HyperMesh, NX, and Nastran

Work Rights

Not specified

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