About The Position

The Part-Time Student Program is primarily designed to augment the Company’s regular full-time staff and is for students who work in parallel to their school schedule YEAR-ROUND. As a Part-Time Student Technical Data Analytics for Ag Engineering located in Ames, IA, you will predict product performance using statistical analysis, assess lab and field event data for impact to product reliability, develop common Reliability modeling tools, analyze and report findings from field demonstration, clean, organize, and structure data for use in business visualization tools, create or improve existing reports and dashboards, and work in an Agile-based environment.

Requirements

  • Pursuing a degree in Data Analytics, Data Science, Statistics or Engineering, similar areas of study may also apply
  • Must be able to commute to the work location daily
  • Available to work 10 - 20 hours/week during the academic year
  • Available to work up to 40 hours/week onsite during the summer semester
  • Must be registered as a full-time student at a local university or college
  • Graduation date of May 2027 or later
  • Cumulative GPA of 3.0 or above
  • Must be 18 years of age or older to apply

Nice To Haves

  • Coursework in Data Science, Data Analytics and Visualization, Computer Science, Reliability, Statistics
  • Familiarity with AI companion engineering for prompts in data analytics and visualization using tools like ChatGPT, Copilot, or similar platforms
  • Experience with Databricks, GitHub, Google Colab or similar applications
  • Data analytics experience (Python, R, SQL, Tableau/Power BI)
  • Experience in Statistical Modeling: clustering, classification, supervised/unsupervised machine learning, regression
  • Experience in Statistical Modeling: classical machine learning and deep learning (natural language processing)
  • Experience with Data Engineering and/or MLOps

Responsibilities

  • Predict product performance using statistical analysis
  • Assess lab and field event data for impact to product reliability
  • Develop common Reliability modeling tools
  • Analyze and report findings from field demonstration
  • Clean, organize, and structure data for use in business visualization tools
  • Create or improve existing reports and dashboards
  • Work in an Agile-based environment

Benefits

  • Flexible work arrangements
  • Highly competitive base pay
  • Savings & Retirement benefits (401K and Defined Benefit Pension)
  • Healthcare benefits with a generous company contribution in the Health Savings Account
  • Adoption assistance
  • Employee Assistance Programs
  • Tuition assistance
  • Fitness subsidies and on-site gyms at specific Deere locations
  • Charitable contribution match
  • Employee Purchase Plan & numerous discount programs for personal use
  • Vacation and Holiday Pay
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