Part-time Student - Data Science & Analytics

John Deere John Deere · Industrial · Ames, IA +1 · Data and Analytics (CA)

Part-time student role focused on data analysis and model building for advanced automation and sensing projects within John Deere's Technology Innovation Center. Requires coursework in relevant fields, programming skills (Python), and knowledge of machine learning/AI concepts.

What you'd actually do

  1. Lead and/or support key analytics projects at the John Deere Technology Innovation Center (JDTIC) in Ames, Iowa
  2. Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced automation & sensing projects.
  3. Collaborate in a fun, friendly, and fast-paced team environment across disciplines and with key stakeholders to deliver data-driven solutions for the business
  4. Present your findings in meetings and translate your results into reports and presentations.

Skills

Required

  • Pursuing a Bachelor’s, Master’s, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, Operations Research, or Statistics
  • 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 have

  • 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
  • Graduate degrees preferred.

What the JD emphasized

  • This position is not available to students on immigration visas

Other signals

  • Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced automation & sensing projects.
  • 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.