Data Scientist, Personalization and Recommendation

We are seeking a veteran Data Scientist, well-versed in data analysis and algorithm implementation, ready to be let loose on Tumblr’s many terabytes of data.

 

What you’ll do:

 

  • Apply data mining and machine learning techniques to develop better personalization, recommendation and content discovery.
  • Define metrics, conduct A/B testing, and oversee statistical measurement of new algorithms and approaches.
  • Design and develop effective models, features, and algorithms involving user activities and interests, blogs and posts, social graphs, etc.
  • Use MapReduce frameworks to generate production data for various recommendation and discovery features.

 

What we’re looking for:

 

  • A strong passion for empirical research with massive data.
  • Experience of solving real problems with data mining and machine learning techniques.
  • Experience of large datasets analysis with map-reduce stack such as Hive, Scalding, Spark.
  • Familiarity with Linux-based systems.

 

Tools We Like:

  • Scala/Java/PHP/Python
  • Hadoop/Scalding/Hive
  • Lucene/Solr
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Confirmed 17 hours ago. Posted 30+ days ago.

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