Part-Time Student - Data Science & Analytics

Summary

John Deere is a leader in agricultural technology and innovation, committed to addressing global challenges. They are seeking a Part-Time Student in Data Science & Analytics to support key analytics projects, clean and analyze data, and collaborate with teams to deliver data-driven solutions.

Responsibilities

• 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

Skills

• 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
• 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
• Graduate degrees preferred
• 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

Qualifications

Must Haves

• 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
• 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

Nice to Haves

• Graduate degrees preferred
• 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

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