Data Scientist

Job Summary

To support advanced data analytics in cyber operations, the full-time Data Scientist will develop and evaluate machine-learning analytics, build statistical models, and apply various techniques to large cyber datasets, all while working remotely.

Key responsibilities

• Develop and evaluate machine-learning analytics for cyber defense use cases using various operational telemetry
• Build unsupervised and statistical models for clustering, anomaly detection, and pattern discovery
• Collaborate with cyber analysts to translate operational questions into measurable features and analytics

Required qualifications

• BS or MS in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Cybersecurity, or a related quantitative discipline
• Strong Python skills and experience with scientific/ML libraries such as pandas and scikit-learn
• Understanding of unsupervised machine learning techniques, including clustering and anomaly detection
• Experience with large, noisy datasets and familiarity with scalable data processing
• Working knowledge of networking and cybersecurity concepts, along with experience in cyber/network telemetry