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 team, you will directly impact the product by modeling complex problems and developing production software. You will develop these models and algorithms in collaboration with Security Researchers, who are experts in cyber security attack techniques. This work provides the core detection capability for our customers.
This is a hybrid role with the ideal candidate being located in Greater Boston, MA or San Jose, CA. Responsibilities Be a technical leader in the team by being a resource for Data Scientists on areas of machine learning, statistics, and software engineering. Leverage large datasets to develop machine learning and statistical models that can differentiate between normal and attack behaviors. Own the prototyping, development, and testing of complex detection algorithms that implement these models and provide customers with real-time visibility. Analyze detection algorithm performance and present key findings to business leaders. Collaborate with Security Research, Data Engineering, and Software Engineering teammates. Required Experience 3-4 years professional experience in Data Science and/or Machine Learning Engineering. MS/PhD in Computer Science, Mathematics, Physics or related discipline. Hands-on experience with machine learning and statistical techniques. Strong experience with Python and object-oriented programming. Ability to work with datasets using SQL or other libraries (pandas, numpy, etc.). Familiarity with data structures and algorithms. Linux and Git proficiency. Desirable Qualifications Familiarity with Spark, Flink, or other distributed computing systems. Experience with cloud computing platforms (AWS, Azure, GCP, etc.). Database experience (SQL or NoSQL variants). Experience working in a software development team. Programming experience in C++, Scala/Java, Go, or other languages.
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