Data Scientist Intern – Twitter, Inc.
San Francisco, CA
We’re looking for highly motivated interns to help us extract meaning from Twitter’s massive dataset and use that to influence data-driven products. You’ll use a combination of statistical analysis, data mining, and software engineering skills to answer important questions. Projects may range from using data to drive business decisions to improving Twitter as a product to uncovering new insights about social phenomena.
Extract information from large data sets to provide insight on a relevant business, product, or social issue.
Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems involving users, their relationships, their tweets and their interests.
Think both analytically and creatively about the most effective ways to use data to answer questions.
Work closely with a team of data scientists and software engineers. Present and interpret analytics findings and participate actively in discussions of results.
Work with large unstructured and structured data sets (multi-terabyte+, 100MM+ daily transaction volumes).
Be prepared to come up to speed on a data analysis workflow involving a mix of Pig, Hadoop, R, and other programming or scripting languages.
Currently pursuing a PhD or MS with a graphs, statistical, data, or machine learning focus in Statistics, CS, or a related discipline.
Experience with statistical analysis of data in environments like R, MATLAB, or Numpy/Scipy is a plus.
Experience with scripting languages like Python or Ruby.
Some familiarity with SQL (or Hadoop/Pig) and motivation to learn new tools for working with large datasets.
How to Apply
Please submit a copy of your resume and unofficial transcript
REQUIRED: Please include a proposal (350 words or less) of a topic you’d like to work on.
Know someone at Twitter or a professor who can vouch for your work/research? Please note their name(s) in your cover letter.
Feel free to attach sample code or analytical results and note if you’ve already done some work with our API, contributed to open source, or published original research.
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