Data Science Internship - Boston, MA

Boston, MA

Vectra

Detect and stop attacks in real time with the world leader in AI-powered cybersecurity. Vectra AI finds the attacks other solutions can’t.

View all jobs at Vectra

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.

Data Scientist Intern

Boston, MA

Position Overview:

Apply cutting edge machine learning, artificial intelligence, and modeling techniques to stop hackers in real time as they attack networks. As part of the data science internship program, you will directly impact the product by developing new methods using cutting edge techniques to detect malicious and anomalous behaviors on the network.

 We are looking for qualified undergraduate and graduate interns eager to learn and deliver a project that will be used in the product.

 Qualifications:

  • Undergraduate or Graduate major focusing on Computer Science, Engineering, or similar computational discipline
  • Python programming experience
  • Strong machine learning knowledge and/or mathematical foundations with experience solving tough, real-world problems
  • Excellent collaboration skills

 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

Job stats:  27  10  0

Tags: Computer Science Engineering Machine Learning Python Security

Region: North America
Country: United States

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