Part-Time Student - Data Science and Analytics - Urbandale, IA

Urbandale, Iowa, US, 50322

John Deere

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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. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

 

Primary Location: United States (US) - Iowa  - Urbandale  
Function: Data & Analytics (CA)
Title: Part-Time Student - Data Science and Analytics - Urbandale, IA - 110172 
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 Data Science and Analytics for JD ISG located in Urbandale, Iowa, you will:

 

  • Lead and/or support key analytics projects as a part of John Deere’s Intelligent Solutions Group. 
  • Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced sensing projects 
  • Collaborate in a fun, friendly, and fast-paced team environment across disciplines and with key stakeholders to deliver data-driven solutions for the business 
  • Present your findings in meetings and translate your results into reports and presentations

 

This position is not available to students on immigration visas

What Skills You Need

 

  • Pursuing a Bachelor’s, Master’s, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, Statistics, or a related quantitative field; others may apply 
  • Must be registered as a full-time student at a U.S. accredited college/university 
  • Graduation date of May 2026 or later 
  • Cumulative GPA of 3.0 or above  
  • Available to work during the academic year 16-20 hours/weekly during the business hours of 6 AM to 6 PM 
  • Available to work during the summer semester 32-40 hours/weekly during the business hours of 6 AM to 6 PM 
  • Knowledge of the Python or R programming language 
  • School and/or work experience analyzing text and/or numerical data 
  • Knowledge of applied statistical analysis, modeling techniques, and data visualization methods

 

What Makes You Stand Out

 

  • Experience with Data Engineering 
  • Knowledge of CVML  
  • Ability to analyze large scale Geospatial data 
  • Knowledge of Large Language Models (LLMs) 
  • Knowledge of sensing technologies/hardware/IoT 
  • Domain knowledge in Crop Science, Soil Science, or Agronomics 
  • Knowledge of ArcGIS, Git, Jupyter Notebooks, RStudio 
  • Understanding of common machine learning algorithms and how to build predictive models

 

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 and performance bonuses
  • 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

 

Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL 

 

The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.

 

The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.

 

 

ACA Section 1557 Nondiscrimination Notice

The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  1  0
Category: Analyst Jobs

Tags: Computer Science Data Analytics Data visualization Engineering Git Jupyter LLMs Machine Learning Mathematics PhD Python R Statistics

Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Health care Relocation support

Region: North America
Country: United States

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