Part-Time Student - Data Science - Urbandale, IA or Austin, TX

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 - Urbandale, IA
Function: Data and Analytics (CA)
Title: Part-Time Student - Data Science - Urbandale, IA or Austin, TX-118302
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
.

As a Part-Time Student Data Science for John Deere Intelligent Solutions Group located in Urbandale, IA or Austin, TX, you will...

• Lead and/or support key data science and analytics projects for John Deere Intelligent Solutions Group
• Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights
• 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
• Committed to working in an Agile-based environment

This position is not available to students on immigration visas.

• Experience with Python and SQL programming languages
• School and/or work experience analyzing text and/or numerical data
• Experience with applied statistical analysis and machine learning algorithms
• Available to work during the academic year 16-20 hours/weekly during the business hours
• Available to work during the summer semester 30-40 hours/weekly during the business hours
• Must be able to commute to a John Deere Facility in either Urbandale, IA or Austin, TX, at least once a week, on a regular basis year-round
• Pursuing a Bachelor's, Master’s, or PhD degree in an analytical discipline including but not limited to Computer Science, Data Analytics, Data Science, Engineering, Math, or Statistics. Others may apply.
• Must be registered as a full‑time student at a U.S. accredited college/university
• Graduation date of Spring 2027 or later
• Cumulative GPA of 2.8 or above

• Knowledge of Py Spark
• Experience with Data Engineering and/or MLOps
• Knowledge of Large Language Models (LLMs) and/or Artificial Intelligence (AI)
• Previous experience in sales and/or marketing

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

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

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Must be 18 years of age or older to apply

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…