Summer 2026 - Advanced Analytics Curriculum Development Intern (Masters)

SASSAS·Remote(United States)
Education

WFA Digital Insight

As demand for data-driven insights continues to soar, companies like SAS are looking for skilled professionals to develop cutting-edge analytics curricula. With the rise of remote work, digital skills are more crucial than ever. In this role, you'll have the chance to work with a leader in data and AI, developing educational assets in machine learning, data science, and statistics. Before applying, consider highlighting your programming experience and passion for teaching and analyzing data.

Job Description

About the Role

The Advanced Analytics Curriculum team at SAS Education is responsible for developing and teaching educational assets in machine learning, data science, statistics, optimization, and forecasting.

Responsibilities

  • Provide feedback about educational assets under development, such as blogs, videos, and course lessons.
  • Review current training assets and test features in new software releases.
  • Curate and simulate data sets to demonstrate concepts in advanced analytics.
  • Learn about new features in SAS analytical software and develop a short tutorial to explain them.

Requirements

  • Master's or PhD degree in Statistics, Data Science, Econometrics, Psychometrics, or other quantitative fields.
  • Enrolled in an accredited program, not graduating prior to December 2026.
  • Programming experience in SAS, Python, R, and strong communication skills.

Nice to Have

  • Prior teaching or TA experience is preferred.

How to Stand Out

  • Be prepared to showcase your programming skills in languages like SAS, Python, or R, and highlight any experience with data analysis or educational content development.
  • Develop a strong understanding of machine learning, data science, and statistics to stand out in your application.
  • Create a portfolio that demonstrates your ability to communicate complex concepts simply, such as through writing or video tutorials.
  • Emphasize your passion for teaching and learning, and be ready to discuss how you stay updated with the latest trends in analytics and technology.
  • Practice explaining technical concepts in a clear, concise manner to prepare for potential interview questions.

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