Director, Data Science - Ad Tech, RTB - Spark MLLib, Vowpal Wabbit, Pandas, Scikit-Learn, NLP, Python, Java, Scala, Hadoop, Hive - New York, NY

Our client is a leader in the ad tech space who invests heavily in their data science team, tasked with detecting and combating online fraud, modeling user behavior, building recommendation systems, optimizing campaign results, and digesting messy natural language searches into actionable keyword strings.  As Director of Data Science, you will provide guidance and develop other members of the Data Science team. You will guide and support teammates in using machine learning techniques and building algorithms in multiple areas including predictive modeling, recommendations, fraud detection and NLP. You will work with mix of open source and in-house developed tools such as Hadoop, Hive, Spark, Vowpal Wabbit or MLLib.

Responsibilities:

  • Leading team of Data Scientist to improve performance of our marketing and online advertising platform
  • Leveraging your Data Science background to guide research and development of our modeling and categorization algorithms
  • Developing algorithms using Python, Java, and/or Scala
  • Collaborating with engineering on implementation aspects and production performance of models
  • Speaking at conferences, writing and contributing to scientific papers, and encouraging others to do the same

Qualifications:

  • You have drive to unlock the true power of big, noisy, messy, real-world data
  • You have extensive applied research or industry work experience (online advertising, marketing technology, social or e-commerce/retail)
  • You have managed teams of Data Scientists
  • You have experience working with multi-terabyte-sized data sets
  • You have worked with modern big-data friendly data science tools, such as Spark MLLib, Vowpal Wabbit, Pandas, Scikit-Learn, or similar
  • You know how to evaluate speed vs. quality tradeoffs in machine learning models
  • You have PhD or equivalent experience in a highly quantitative field