Part-Time Student - Technical Data & Analytics - Ames, IA, Champaign, IL, 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. Here the world's brightest minds are tackling the world's biggest challenges.

About the role

This Part-Time Student Program is designed to augment the Company’s regular full-time staff and is for students who work in parallel to their school schedule year-round. Relocation assistance is not provided. The position is onsite in Ames, IA, Champaign, IL, or Austin, TX and is not available to students on immigration visas.

Responsibilities

• Lead and/or support key analytics projects at the Intelligent Solutions Group (ISG).
• Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced automation & 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.

Requirements

• Pursuing a Bachelor’s, Master’s, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, operations research, or Statistics; others may apply. Graduate degrees preferred.
• Must be registered as a full-time student at a U.S. accredited college/university.
• Graduation date of December 2026 or later.
• Cumulative GPA of 2.8 or above.
• Available to work during the academic year (16-20 hours weekly).
• Available to work during the summer semester (30-40 hours weekly).
• Working knowledge of Python and other programming languages with generally high technical capability.
• School and/or work experience analyzing text and/or numerical data and building models.
• Good knowledge of one or more of the following: machine learning, Bayesian statistics, AI, signal processing, optimization, operations research, applied statistical analysis, algorithmic modeling techniques.
• Experience with complex data visualization methods.

Skills

What Makes You Stand Out

• Knowledge of transformers, CNNs, Large Language Models (LLMs).
• Knowledge of sensing technologies/hardware/IoT.
• Domain knowledge in Crop Science, Soil Science, or GIS.
• Knowledge of Pytorch, Databricks, ArcGIS, Git, Jupyter Notebooks, SQL.
• Understanding of common machine learning algorithms and how to build predictive models.

Benefits

• 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.

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Pay

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