• SAS Analytical Education Graduate Intern

    Job Locations US-NC-Cary
    Requisition ID
    Visa Sponsorship
    Travel Requirements
  • Overview

    Germany SAS

    SAS Analytical Education Intern – Summer 2019




    Here in Advanced Analytics Education, we develop and deliver educational assets in machine learning, statistics, data science, and AI that are used in universities and with SAS users around the world. We also provide analytical consulting services within SAS to improve our own business!

    If you spend the summer with us, you’ll review course content before it goes out to the world, contribute to training materials on some of the hottest new technologies and algorithms, and work with senior staff to develop interesting models that derive value from messy and complex data.

    The summer internship will last 10-12 weeks and all interns be located in our world headquarters in Cary, North Carolina.




    • Pursuing Master’s or Doctoral degree in machine learning, statistics, data science, business analytics, or a closely related field. Must be an accredited program.
    • Microsoft Office. (Word, Excel, Outlook, PowerPoint, and/or SharePoint).
    • Python programming, SAS programming
    • This is a summer internship based in Cary, NC. To be eligible, students must be enrolled in a degree seeking program and not be graduating prior to the beginning of the internship.


    • Excellent written communication skills. Your message is always clear and comprehensible.
    • Talking. You have to do it effectively.
    • Mistakes. Catch them. If you don’t. Learn from them.
    • Technology. Embrace it.
    • Teamwork… With a dash of independence.
    • Leadership. You sit in the front row of the class.
    • Volunteering.  You care about more than just you.





    Master’s degree in statistics, mathematics, computer science, machine learning, data mining, or related quantitative field.

    R programming, SAS Enterprise Miner, SAS Wrapper for Analytic Transfer (SWAT) package for Python and/or R.

    An interest in teaching, specifically in machine learning and/or statistics.

    GPA of 3.5 or higher.



    SAS looks not only for the right skills, but also a fit to our core values. We seek colleagues who will contribute to the unique values that makes SAS such a great place to work. We look for the total candidate: technical skills, values fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.


    Additional Information:

    To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the notice Pay Transparency 


    Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.


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