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Part-Time Student - Technical Data Analytics - Ames, IA

John Deere
United Statespart_timeVerifiedPosted 12 May 2026
💰 $80,000/yr($30,000/yr$80,000/yr)

About the role

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

 

John Deere is an equal opportunity employer, including disabled & veterans. 

 

Primary Location: United States (US) - Iowa  - Ames  
Function: Data and Analytics (CA)
Title: Part-Time Student - Technical Data Analytics - Ames, IA - 120522 
Onsite/Remote:Onsite Position

 

Note: Relocation assistance is not provided.

 

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.

Your Responsibilities

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 for
  • 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 

 

VISA Sponsorship is NOT available for this position

What Skills You Need

 

  • 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 

What Makes You Stand Out

 

  • 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 

At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:

  • 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

$15 - $40 hourly based on published rates for business function and education level.

 

Follow this link to learn more about our Total Rewards Package 

Company

John Deere

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