General Motors-posted 4 months ago
$7,100 - $10,100/Yr
Full-time • Intern
Hybrid • Austin, TX
Transportation Equipment Manufacturing

As a Data Science intern, you will have an opportunity to work on project(s) that may entail: Developing analytical solutions by applying data science and modeling techniques to deliver useful insights for better decisions and improved business performance. Performing hands-on analysis, design, and development of analytical solutions. Performing exploratory and targeted data analyses, which could include complex event and real-time event processing. Building predictive models and machine learning algorithms. Analyzing large amounts of diverse information to discover trends and patterns. Driving the collection of new data and the refinement of existing data sources. Preparing and cleaning structured and/or unstructured data. Combining models through ensemble modeling. Presenting complex information using data visualization techniques. Identifying practical insights, making recommendations, and communicating results to business and technical audiences. Establishing strong working relationships with cross-functional teams to formulate business problems and validate assumptions. Assessing new technologies, as needed, as related to solving business problems. Working under mentorship of a senior data scientist on analytical solutions. Getting exposure to other work being done across the Enterprise Data, Analytics & Insights team.

  • Develop analytical solutions by applying data science and modeling techniques.
  • Perform hands-on analysis, design, and development of analytical solutions.
  • Conduct exploratory and targeted data analyses.
  • Build predictive models and machine learning algorithms.
  • Analyze large amounts of diverse information to discover trends and patterns.
  • Drive the collection of new data and refine existing data sources.
  • Prepare and clean structured and/or unstructured data.
  • Combine models through ensemble modeling.
  • Present complex information using data visualization techniques.
  • Identify practical insights, make recommendations, and communicate results.
  • Establish strong working relationships with cross-functional teams.
  • Assess new technologies related to solving business problems.
  • Work under mentorship of a senior data scientist.
  • Pursuing a Bachelor's, Master's or PhD in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, or another quantitative field.
  • Must be graduating between December 2026 to August 2028.
  • Able to work fulltime, 40 hours per week.
  • Experience working with large data sets and distributed computing tools.
  • Experience with Machine Learning pipelines.
  • Strong passion for empirical research.
  • Excellent teammate and communicator with strong interpersonal skills.
  • Cultivates an open, inclusive culture that supports learning and encourages collaboration.
  • Thirst to learn the latest knowledge in software and hardware products or services.
  • Paid US GM Holidays.
  • GM Family First Vehicle Discount Program.
  • Result-based potential for growth within GM.
  • Intern events to network with company leaders and peers.
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