Part-Time Student - Data Science & Analytics

Part-Time Student - Data Science & Analytics

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 - Ames Function: Data and Analytics (CA) Onsite/Remote: Onsite Position

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 & Analytics for John Deere Technology Innovation Center (JDTIC) located in Ames, IA, or Champaign, IL, or Austin, TX, or Chicago, IL, you will:

• Lead and/or support key analytics projects at the John Deere Technology Innovation Center (JDTIC) in Ames, Iowa
• 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. This position is not available to students on immigration visas

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, Operations Research, 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.
• Graduate degrees preferred.
• 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.

What Makes You Stand Out

• Domain knowledge in Farm machinery or agronomic sciences, 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
• Knowledge of transformers, CNNs, Large Language Models (LLMs)
• Knowledge of sensing technologies/hardware/IoT
• Optimization algorithms experience

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
• 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

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

Must be 18 years of age or older to apply