listing details




Principal Data Scientist

Location: San Francisco
Category:Engineering

Come join the #1 Fastest Growing Company in the Bay Area! With 4,698% revenue growth and 23 Billion monthly page views, it is no wonder we are ranked among the Top 40 Forbes America's Most Promising Companies. The company 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 the company 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. The company 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 our clients.



RESPONSIBILITIES



  • Devise and test hypotheses by exploring various billions of data points and sources

  • Develop strategies to leverage data in optimizing ad campaigns using algorithms and automation

  • Explore new insights and products to demonstrate the value of the company's unique data sets

  • Collaborate with other departments to develop data insights to clients and agencies

  • Work with the Technology and Product Management to bring analysis to products


QUALIFICATIONS



  • +6 years experience developing predictive models and optimization for huge datasets 

  • Expertise in data mining, machine learning, statistics, social network analysis or graph analysis

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

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

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

  • PhD in Computer Science, Statistics, Operations Research, Math, Econometrics, or Engineering




We offer competitive salaries, stock, bonus, and great benefits. Equal Opportunity Employer.


 

 



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