Vectra AI, Inc.
Senior Data Scientist
Vectra AI, Inc., San Jose, California, United States, 95199
Position OverviewBe 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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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
#J-18808-Ljbffr