Iowa State University Research Park
Part-Time Student - Data Science & Analytics
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Part-Time Student - Data Science & Analytics
Location: Ames, IA
Job Description
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
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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.
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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
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