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Title: Data Analytics Intern
Start: ASAP (Nov 2018)
End: December 22 2018 or January 15 2019
Location: Washington, DC / Remote workers accepted.
Commitment: 20 hours a week (flexible)
‎We welcome applicants who will work for academic credit or CPT. 
About the Internet Education Foundation:
The Internet Education Foundation is a 501(c)(3) nonprofit organization supported by public interest groups, corporations, and associations representative of the diversity of the Internet community. IEF does not take any positions on legislation and strives to provide a balanced platform for debate. For more information about the Internet Education Foundation, please visit ​
About the Congressional App Challenge:
The Congressional App Challenge (CAC) is Congress’ coding contest for kids. The CAC encourages kids to learn how to code, through annual district-wide competitions hosted by Members of Congress.
Students in participating districts code original applications for the chance to be selected for recognition by their Member of Congress, win prizes, and have their work put on display in the Capitol Building in Washington, DC. The district-wide competitions take place from July through fall. 
In the first 4 years of the program yielded 830 challenges across 43 states. Over 4,000 apps were created by over 14,000 students, and participant demographics surpassed all industry diversity metrics, with young women representing 30% of all competitors.
About the internship:
The Congressional App Challenge seeks a Data Science, Statistics (or similar) student to crunch the numbers to give insights, recommendations. There are over 14,000 data points to analyze, spanning 4 years. The data include temporal and ‎geographic identifiers. The data for 2018 is fresh and has not been analyzed.
To this rich dataset‎, we may also add congressional district data, census data, and 2 years of exit surveys.
‎Suggested tasks:
‎1– Review existing data from 2015-2017 and the accompanying overview report.
2- Clean 2018 data. Organize dataset to get actionable insights from them.
3– Navigate dataset to yield some broad conclusions based on some initial appraisal (ex: find indicators for successful contests, attrition). Based on zip code, calculate % participants who are low income, who are living in rural America. Based on timestamp of registration, calculate attrition rate. Based on team size, calculate attrition. Flexibility of statistical innovation.
4– Create meaningful data visualizations that communicate your findings, inform future business decisions. (use Tableau or other similar tool).
Applications are reviewed on a rolling basis. Applicants are encouraged to apply online before Nov 13 , 2018.

Email resumes and cover letters to [email protected]