• Business Analytics Research Intern/商业分析实习生

    Posting Number 2019-5529
    Posted Date 6 days ago(1/13/2019 8:36 PM)
    NYU Shanghai (SH1002)
    Compensation Grade
    Academic Program Support
  • Position Summary

    This opportunity is perfect for students who want to learn about digital analytics for business. Students will work with Dr. Jeff Lee (who received his PhD from Harvard Business School, and taught in the Massachusetts Institute of Technology business school program).  Students will work on big data projects about digital marketing and social media.


    We welcome applications from students from several majors, including: computer science, engineering, data science, statistics, psychology, sociology, business or marketing.  We also welcome applications from both graduate (PhD, Masters) and undergraduate students.


    We prefer students with some experience in programming, specifically in web scraping and managing datasets (e.g. via Python and MySQL). Students may have the opportunity to collect and analyze both language and other word-of-mouth data online.


    Our project findings will be published in management journals. This will benefit students who are interested in a data analytics or business academia career.


    Required Meetings

    • Availability in Spring Semester 2019 to participate in weekly team meetings, and work for around 10 hours per week.  We would consider off-campus work arrangements for students attending schools outside Shanghai.

    Required Education and experience

    • Bachelor’s degree, preferably majoring in computer science, engineering, data science, statistics, psychology, sociology, business or marketing.
    • Previous experience with Python, MySQL, web scraping, and dataset management preferred


    Required Knowledge, Skills, and Abilities

    • Interest in data analytics
    • Background in multivariate statistics preferred
    • Ability to communicate and work in English

    Additional Information

    * A summary of any previous and relevant experiences

    * A short description of why you are interested in this work


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