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Senior Data Scientist


Headquarters: Arlington, VA
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Endgame’s Research team creates novel technologies which allow the Endgame platform to protect customers against advanced adversaries. The team includes data scientists, reverse engineers, adversary experts, and seasoned incident response and hunt operators all working together to produce some of the industry’s most powerful signatureless detection methods. Endgame Research delivers new capabilities directly into the Endgame product, allowing Endgame to innovate more rapidly than anyone else in the industry. We are also open, encouraging team members to share publicly and release free tools which have an impact beyond the Endgame customer base. If you want to work on innovative research with brilliant teammates and see your creations directly enabling Endgame customers to stop attacks, join our team.

About the role...

Endgame is seeking a Data Scientist to research and prototype machine learning models to create novel detections of malicious cyber activity on customer endpoints. Working closely with other members of the Research team, you define and implement ways to leverage Endgame’s visibility on real-time data from endpoints to implementing automated real-time analytics and heuristics on data to detect malicious activity on our sensor. You also have opportunities to contribute towards enhancements in the usability of the Endgame platform by applying data science techniques to problems of simplicity, alert triage, and response . You apply hands-on expertise in data engineering to contribute towards the data pipeline used in the development of all Endgame machine learning models.

About you...
5+ years of machine learning experience; strong preference for a focus on information security problems
In-depth knowledge of machine learning algorithms with exposure to deep learning and network analysis
Experience developing data pipelines including: collection, normalization, storage, and API access of complex event data
Excellent Python programming skills and experience using ML-related libraries.
Familiarity with Go, OCaml, Rust, or Haskell, and a demonstrated ability to easily pick up new languages
Enthusiasm for providing thought leadership on machine learning in information security and present novel research at conferences
Significant exposure to threat research, incident response, malware analysis, or related activity.
Ability to work in a fast paced and highly autonomous environment