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Austin, TX
Internship
Hybrid
Intern
John Deere is a manufacturing company that designs and produces lawn, garden, electric, agriculture, and construction equipment. They are seeking a Part-Time Student in Data Science and Analytics to support key analytics projects, clean and analyze data sets, and collaborate with team members to deliver data-driven solutions. This role is designed for students working in parallel to their school schedule year-round.
Apply NowResponsibilities
- Lead and/or support key analytics projects as a part of John Deere’s Intelligent Solutions Group.
- Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced 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.
Qualification
Required
- Pursuing a Bachelor’s, Master’s, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, Statistics, or a related quantitative field; others may apply
- Must be registered as a full-time student at a U.S. accredited college/university
- Graduation date of May 2026 or later
- Cumulative GPA of 3.0 or above
- 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 32-40 hours/weekly during the business hours of 6 AM to 6 PM
- Knowledge of the Python or R programming language
- School and/or work experience analyzing text and/or numerical data
- Knowledge of applied statistical analysis, modeling techniques, and data visualization methods
Preferred
- Experience with Data Engineering
- Knowledge of CVML
- Ability to analyze large scale Geospatial data
- Knowledge of Large Language Models (LLMs)
- Knowledge of sensing technologies/hardware/IoT
- Domain knowledge in Crop Science, Soil Science, or Agronomics
- Knowledge of ArcGIS, Git, Jupyter Notebooks, RStudio
- Understanding of common machine learning algorithms and how to build predictive models
Benefits
- 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