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Vectra AI

Data Scientist II

Reposted 13 Days Ago
2 Locations
140K-180K Annually
Mid level
2 Locations
140K-180K Annually
Mid level
Develop machine-learning models and complex detection algorithms for cyber security, collaborating with security researchers and engineers to analyze performance and provide real-time visibility to customers.
The summary above was generated by AI

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. 


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.

Responsibilities

  • Leverage large datasets to develop machine-learning and statistical models that can differentiate between normal and attack behavior.
  • 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

  • MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)
  • 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


Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position.  

Vectra Total Rewards

$140,000$180,000 USD

Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.

Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. 

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. 

 

Top Skills

AWS
Azure
C++
Flink
GCP
Git
Go
Java
Linux
Python
Scala
Spark
SQL

Vectra AI Cambridge, Massachusetts, USA Office

245 Main St, Cambridge, MA, United States, 02142

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