Part Time Student – Data Science and Analytics
John Deere
$15 – $40 hourly based on published rates for business function and education level.
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.
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.
Your Responsibilities
- 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
What Skills You Need
Education Details
- 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 December 2025 or later
- Cumulative GPA of 3.0 or above
Required Skills/Experience
- 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 the John Deere Technology Innovation Center in Champaign, IL at least once a week, on a regular basis year-round
- Cumulative GPA of 3.0 or above
What Makes You Stand Out
- Knowledge of PySpark
- Experience with Data Engineering, MLOps, or Recommender Systems
- Knowledge of Large Language Models (LLMs) and/or Artificial Intelligence (AI)
