Position Overview

Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security – as part of the data science engineering team, you will directly impact the product by developing core algorithms to model complex problems.

Position responsibilities includes:

  • Prototyping, development and testing of complex mathematical models in order to facilitate the detection of anomalous behavior with a very high degree of accuracy
  • Development and testing of methods to combine models in order to improve accuracy, as well as automatically training and retraining these models
  • Innovating around new models to solve new problems

Required Experience

  • Strong math/statistics/machine learning background
  • Successfully applied machine learning, statistical methods, data mining to academic/work projects
  • Statistical package experience: R, Python/Pandas or MATLAB/Octave

Desired Experience

  • MS/PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)
  • Experience designing and implementing new algorithms
  • Familiarity with systems that make use of multiple machine learning and statistical methods at the same time, ensemble learning
  • Working knowledge with either Java\Scala, c++