Part-Time Student - Data Science - Urbandale, IA or Austin, TX
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. 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 - Urbandale, IA or Austin, TX - 111482
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 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.
What Skills You Need
- 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 of 6 AM to 6 PM
- Available to work during the summer semester 35-40 hours/weekly during the business hours of 6 AM to 6 PM
- 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
- Must be registered as a full-time student at a U.S. accredited college/university
- Graduation date of Spring 2026 or later
- Cumulative GPA of 3.0 or above
What Makes You Stand Out
- Knowledge of PySpark
- Experience with Data Engineering and/or MLOps
- Knowledge of Large Language Models (LLMs) and/or Artificial Intelligence (AI)
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