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

John Deere John Deere · Industrial · Ames, IA +1 · Data and Analytics (CA)

Part-time student role focused on technical data analytics within Ag Engineering at John Deere. Responsibilities include predicting product performance, assessing data impact on reliability, developing modeling tools, analyzing field data, cleaning and structuring data, and creating reports/dashboards within an Agile environment. Requires coursework in data analytics, data science, statistics, or engineering, with a GPA of 3.0 or above and availability for part-time work during the academic year and full-time during the summer. Familiarity with AI companion tools like ChatGPT/Copilot, Databricks, GitHub, Google Colab, and experience with Python, R, SQL, Tableau/Power BI, statistical modeling (clustering, classification, regression, NLP), data engineering, and MLOps are preferred.

What you'd actually do

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

Skills

Required

  • Pursuing a degree in Data Analytics, Data Science, Statistics or Engineering
  • 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

Nice to have

  • 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

What the JD emphasized

  • AI companion engineering

Other signals

  • statistical analysis
  • machine learning
  • data analytics
  • AI companion engineering