Part-time Student - Technical Data Analytics - Ames, Ia

Deere & Company

Ames, Iowa, United States
Base: $15 - $40 hourly; bonus/equity: not specifie...
On-site
Pursuing degree in data analytics or engineering
Available to work 10-20 hours weekly
Registered as full-time student at local university
John Deere is seeking a part-time student for a Technical Data Analytics position in Ames, Iowa, aimed at students pursuing degrees in data-related fields. The role involves statistical analysis, data organization, and reporting, requiring a commitment of 10-20 hours per week during the academic year and potentially up to 40 hours during the summer

Job Summary

  • The role involves predicting product performance using statistical analysis and assessing lab and field event data for reliability.
  • Candidates will develop common Reliability modeling tools and create reports using business visualization tools in an Agile-based environment.
  • John Deere offers a comprehensive reward package including flexible work arrangements, competitive pay, and extensive benefits like tuition assistance.

Matching Summary

Match Score: 85

John Deere is seeking a part-time student for a Technical Data Analytics position in Ames, Iowa, aimed at students pursuing degrees in data-related fields. The role involves statistical analysis, data organization, and reporting, requiring a commitment of 10-20 hours per week during the academic year and potentially up to 40 hours during the summer.

Salary

Base: $15 - $40 hourly; Bonus/Equity: Not specified; Benefits: 401K, Pension, Healthcare, Tuition assistance

Skills & Requirements

Must-have

  • Pursuing degree in Data Analytics or Engineering
  • Available to work 10-20 hours weekly
  • Registered as full-time student at local university
  • Cumulative GPA of 3.0 or above
  • Daily commute to Ames, Iowa location

Nice-to-have

  • Familiarity with AI companion engineering tools
  • Experience with Databricks and GitHub platforms
  • Knowledge of statistical modeling techniques
  • Background in machine learning and deep learning
  • Experience with data visualization dashboards

Key Requirements

  • Graduation date of May 2027 or later
  • Must be 18 years of age or older
  • Full-time student status required
  • No VISA sponsorship available

Work Rights

Not specified

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