Exabeam provides security intelligence and management solutions to help organizations of any size protect their most valuable information. The Exabeam Security Intelligence Platform uniquely combines a data lake for unlimited data collection at a predictable price, machine learning for advanced analytics, and automated incident response into an integrated set of products. The result is the first modern security intelligence solution that delivers where legacy security information and event management (SIEM) vendors have failed.
We are looking for a data scientist to join our engineering team. The ideal candidate will have a keen interest in the application of big data analytics and machine learning techniques to important and complex real world data sets. More specifically at Exabeam we apply machines learning and data science techniques to the field of cyber security using enterprise network data including but not limited to user/machine authentication data, user/resource access logs, and other machine generated data to detect advanced security threats.
Collaborate with security domain experts, data scientists, and platform engineering team to identify security threats with data-driven methods
Perform data processing and transformation to maximize informational value
Conduct research activities including idea proposition, literature review, fast algorithm and learning model prototyping, experiments running, and documentation
Assist in implementing performance-efficient models and algorithms for production
Be responsible for accuracy and performance of models in production. Review and improve where necessary.
Work under general guidance with minimal close supervision
Communicate and demonstrate success of data science-based methodologies for internal and external use
M.S. or Ph.D. in a relevant technical field with machine learning and data mining, or 4+ years experience in a relevant role. Particular areas of interests include semi or unsupervised learning, anomaly detection, graph or network analysis.
Extensive experience solving analytical problems using quantitative approaches
Comfort in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Ability to investigate an ill-defined data problem and crystalize it to an appropriate learning framework
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Familiarity with databases, preferably noSQL databases
Expert knowledge of an analysis tool such as Python
Experience working with large data sets, experience working with distributed computing in a cloud environment a plus
Familiarity with machine generated data is a plus
Why Work at Exabeam?
Rare opportunity to be part of an engineering team to help define and shape a brand new product for a huge business problem. Unique chance to start designing algorithms and code from scratch.
Work with our top-notch team of smart, motivated security analysts, data scientists, and engineers, pushing the envelope to produce the most advanced real-time security data processing engine.
We are solving technically challenging and very interesting problems. This is an amazing opportunity to work with the latest technologies in distributed systems, machine learning and high volume data processing.
We are a collaborative team, building a place where we truly love to work.
We have deep security expertise and want to share our knowledge with you.
We are a well-funded company with a growing list of satisfied customers