Data Science Manager

San Jose, CA

Applications have closed
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Vectra

Vectra is the world leader in AI threat detection and response. The Vectra platform uses AI to detect attackers in real time and perform conclusive investigations.

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

The Vectra Platform captures packets and logs across network, public cloud, SaaS, and identity by applying patented security-led AI to surface and prioritize threats for rapid threat response. Vectra's threat detections are powered by a deep understanding of attacker methods and problem-optimized AI algorithms. Alerts uncover attacker methods in action and are correlated across customer environments to expose real attacks. Organizations around the world rely on Vectra to see and stop threats before a breach occurs. 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 engineering team, you will directly impact the product by developing core algorithms to model complex problems. Specific responsibilities include:

  • Work with product management and security research to define detection priorities
  • Help continue to grow the team through interviewing and hiring
  • Mentor and grow team members both technically and non-technically
  • Ensure delivery of detection models using statistical or machine learning approaches

Required Experience

  • 1+ years of technical management experience
  • 3+ years of professional data science/machine learning experience
  • Strong math/statistics/machine learning background
  • Successfully applied machine learning, statistical methods, data mining to academic/work projects
  • Strong programming and software development experience
  • Python experience
  • Linux/Unix experience
  • Team player

Qualifications

  • MS/PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)
  • Experience designing and implementing new algorithms
  • Statistical package experience: R, Python/Pandas or MATLAB/Octave
  • Familiarity with systems that make use of multiple machine learning and statistical methods at the same time, ensemble learning
  • Hadoop ecosystem experience
  • Database hands-on experience (SQL or noSQL)
  • Experience working in a software development team

 A two-minute video that describes what we do at Vectra, and an article about Vectra's last funding round:

https://vimeo.com/89579264

https://tcrn.ch/3gVAXNw

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Computer Science Data Mining Engineering Hadoop Linux Machine Learning Mathematics Matlab NoSQL Octave Pandas PhD Physics Python R Research Security SQL Statistics

Region: North America
Country: United States
Job stats:  6  1  0
Category: Leadership Jobs

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