FAQs
Is this internship position paid?
The job description does not specify whether the internship is paid, but it states that candidates must be enrolled in a program and eligible for college credit.
What is the duration of the internship?
The duration of the internship is not specified in the job description.
What is the expected working hours for this internship?
Candidates are expected to be available for 20-25 hours per week.
Are there specific programming languages preferred for this role?
Yes, the preferred coding and visualization skillsets include R, Python, Shiny, Ggplot2, and Matplotlib.
Is the internship open to all students?
The internship is open to students enrolled in undergraduate or graduate programs, particularly in fields related to Computer Science, Statistics, Mathematics, Economics, Engineering, Finance, Sports Analytics, or similar areas.
Will I receive training during the internship?
While the job description does not explicitly mention training, it emphasizes strong communication skills and a willingness to learn, indicating that support and guidance will likely be provided.
Do I need to have previous experience in sports analytics?
Previous experience in sports analytics is preferred but not explicitly required; a passion for soccer and interest in data analysis are also important.
Can I complete this internship from anywhere?
Yes, this internship can be completed in-person or remotely, allowing for flexible work arrangements.
What kind of projects will I be working on?
Interns will assist technical staff with data-driven projects, work on preparing and analyzing datasets, and support various requests from the soccer department.
Is there a requirement for a background check?
Yes, all candidates must complete a successful background check as part of the application process.