Security Data Scientist PhD Internship (Summer 2020)

Dropbox

Data Science Internship

 
Role Description
The PS-DART team is looking for PhD-level (or extraordinary Masters-level) interns for Summer 2019 to work on security data science projects.
 
As an intern on this team, you will focus on designing algorithms and ML models to identify malicious usage of Dropbox. You will get access to a unique data set of real-time events by 600+M Dropbox users and see the activity of actual hacker groups as it happens.
 
The Dropbox internship program is a top-notch learning experience for engineering students from all backgrounds. As a Dropbox intern, we'll pair you with a dedicated mentor. Your mentor is committed to guiding you to success via consistent, dedicated feedback. You will be responsible for your project and are encouraged to collaborate with full-time engineers to get it finished successfully. Our goal is to provide you the best learning experience possible (not to mention the huge variety of social events that help to connect friendships, mentors, and networks for life).
 
This internship is based out of San Francisco, CA or New York, NY.
 
Requirements:
    • Completed at least 2 years of a CS or EE PhD program by Summer 2020
    • Interest/passion for security work
    • Strong data analysis skills, including complex SQL/Hive queries
    • Machine learning skills, with experience training and evaluating ML models
    • Basic programming skills (understand Python and make small changes)
    • If you have any experience with writing or shipping software as part of internships, personal projects, coding competitions or research, and the work we do at Dropbox resonates with you, we’d love to learn more about you.