Data Scientist Internship

Engineering | Palo Alto, CA, United States

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Come join the #1 Fastest Growing Company in Bay Area!  With a whopping 4,700% revenue growth and 23 Billion monthly page views, it is no wonder why we are ranked among the Top 40 Forbes America’s Most Promising Companies. ShareThis offers the most innovative sharing platform and tools for today's social audience. Our suite of solutions for advertisers and publishers inspire people to do more of what we believe is the foundation of digital life - to share.

Do you love coming up with new ways to tell stories with huge amounts of data? At ShareThis we have billions of ever changing data points for you to play with daily. If you love to research and come up with new and useful ways that will invigorate an explosively fast growing business, then look no further, ShareThis is the place for you. You’ll get the chance to create, develop, and test ideas/hypotheses for new insights and products from the sharing activity of our millions of users. We welcome innovative thinking about online advertising, data insights, social media, and human behavior that leads to epiphanies for top brands.


  • Test hypotheses by exploring various billions of data points and sources

  • Leverage data in optimizing ad campaigns using algorithms and automation

  • Developing predictive models and optimization for huge datasets

  • Contributing algorithms for testing and implementing creative ideas

  • Research to discover new relevant data to innovate our ideas for sharing

  • Code in Python, Perl or Java to work with large data sets


  • Exposure to data mining, machine learning, statistics, social network analysis or graph analysis

  • Knowledge of R, Weka, Mahout or SAS helpful for modeling

  • Familiarity with Hadoop (HDFS/Hive/Pig/Hbase) or other MapReduce paradigms is a plus

  • Studied: Data Mining, Machine Learning, Statistics, Social network analysis, Distributed Computing

  • Intellectual bandwidth, analytical capacity, and comfort in solving product

  • MS / PhD major in Computer Science, Statistics, Ops Research, Math, Econ, or Engineering