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Data Scientist Intern (Summer 2026)

Tractor Zoom

Salary not specified
Sep 17, 2025
West Des Moines, IA, US
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Tractor Zoom is looking to hire a Data Scientist Intern to help discover information hidden in vast amounts of data, and help make smarter decisions to deliver even better products. The intern will help accelerate the development of products, strengthen processes, and grow the engineering culture.

Requirements

  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, etc.
  • Experience visualizing/presenting data for stakeholders

Responsibilities

  • Work with our data team to identify opportunities for leveraging company data to drive business solutions.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner

Other

  • Pursuing a degree in Data Science/Analytics, Statistics, Mathematics, Computer Science or another quantitative field
  • Strong problem solving skills with an emphasis on product development.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Hybrid - 4 days in office and 1 day remote