Part-time Student - Data Science and Analytics - Austin, Tx or Urbandale, Ia

John Deere John Deere · Industrial · Austin, TX +1 · Data and Analytics (CA)

Part-time student role focused on data science and analytics within John Deere's Intelligent Solutions Group, involving data cleaning, preprocessing, exploration, and analysis for advanced sensing projects. Requires proficiency in Python, SQL, and knowledge of ML/DL techniques, AI coding tools, and specific software like Gurobi, GitHub, VSCode, and Databricks.

What you'd actually do

  1. Lead and/or support key analytics projects as a part of John Deere’s Intelligent Solutions Group.
  2. Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced 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, Statistics, or a related quantitative field
  • Registered as a full-time student at a U.S. accredited college/university
  • Graduation date of December 2027 or later
  • Cumulative GPA of 3.0 or above
  • Available to work during the academic year 16-20 hours/weekly
  • Available to work during the summer semester 32-40 hours/weekly
  • Proficient with Python and SQL
  • Knowledge of applied operations research/machine learning/deep learning techniques
  • Ability to work with structured/unstructured data
  • Knowledge of working with AI tools for coding
  • Knowledge of Gurobi, GitHub, VSCode, Databricks
  • Committed to working in an Agile environment
  • Must be able to commute to the work location in Austin, TX or Urbandale IA on a regular basis

Nice to have

  • Domain knowledge in Crop Science, Soil Science, or Agronomics
  • Applied knowledge of OR algorithms
  • Pursuing a PHD in Industrial Engineering/Operation Research, Computer Science, Data Science

Other signals

  • Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced sensing projects
  • Knowledge of applied operations research/machine learning/deep learning techniques
  • Ability to work with structured/unstructured data
  • Knowledge of working with AI tools for coding