truezerotech - True Zero Technologies - Data Scientist Team Lead (R-00230)
Requirements
• Master’s or PhD degree in a quantitative field such as Statistics, Engineering, Computer Science, or Economics required, OR additional experience above the minimum may be considered in lieu of the required education on a year for year basis. • 5+ years of experience with machine learning engineering, data science, data project engineering, or software development for data solutions. • Experience with designing a technical solution and leading a team in the implementation of the technical design. • Experience with object oriented programming languages such as Python, JSON, C++, Java, R, or Scala. • Experience with containerization tools, including Kubernetes and Docker. • Experience with architecting and designing novel analytic methods using machine learning methodologies. • Experience with developing and supporting data oriented tasks for cybersecurity solutioning, including developing machine learning algorithms, data models, or architecture strategy for cyber defense purposes. • Experience with developing and engineering data workflows to merge disparate data sources and draw data driven insights. • Experience with designing and developing automation for security tools management and creating customized searches and applications • Ability to support high visibility reporting on cybersecurity data through development of data visualizations and/or dashboards. • Must possess at least a Certified Analytics Professional (CAP) certification and be eligible for a Secret clearance. • We’re actively searching for talented and expereinced professionals who are ready to experience the True Zero difference. As a True Zero team member, you'll enjoy: • Competitive salary, paid twice per month • Best in class medical coverage • 100% of medical premiums covered by True Zero • Company wide new business incentive programs • Contribution Incentives (i.e. white papers, blog posts, internal webinars, etc.) • 3 weeks of PTO starting + 11 Paid Holidays Annually • 401k Program with 100% company match on the first 4% • Monthly reimbursement of Cell Phone and Home Internet costs • Paternity/Maternity Leave
Responsibilities
• Lead the design and implementation of technical data science solutions supporting enterprise cybersecurity operations. • Develop data models and automation capabilities that enhance security monitoring, detection, threat hunting, UEBA, and correlation of cybersecurity information across the ICE enterprise. • Design and implement custom algorithms, analytical processes, and data architectures for complex enterprise scale data sets used for modeling, data mining, research, and cyber defense. • Develop advanced analytical capabilities supporting predictive risk analysis, risk identification, risk mapping, cyber risk cost analysis, supply chain threat identification, and User and Entity Behavior Analytics. • Design data pipelines and workflows that ingest, normalize, correlate, and analyze information from multiple disparate security and enterprise data sources. • Develop machine learning algorithms and models to identify anomalous behavior, emerging cyber threats, attack patterns, and other indicators of malicious activity. • Develop metrics and trending analysis covering enterprise security anomalies, threat actor activity and impact, user behavior anomalies, and other relevant cybersecurity data. • Incorporate data science modeling into operational threat hunting and support predictive threat simulations designed to estimate cyber attack probability and potential cost or impact. • Develop capabilities that correlate cyber threat intelligence with assets, users, and security events to evaluate the potential financial and operational impact of cyber incidents. • Support development of custom Indicators of Compromise and Indicators of Attack detection and alerting mechanisms. • Develop visualizations, dashboards, and other high visibility reporting capabilities that communicate complex cybersecurity data, trends, risks, and analytical findings to technical and leadership audiences. • Design and develop automation supporting security tool administration, cybersecurity analytics, customized searches, and security applications. • Support integration of analytical capabilities with Security Information and Event Management and Security Orchestration, Automation, and Response platforms. • Support ICE User and Entity Behavior Analytics capabilities and the development, integration, optimization, and maintenance of security data analytics capabilities. • Identify and resolve critical data quality, integrity, architecture, and analytical issues affecting cybersecurity capabilities. • Support development of repeatable and scalable analytical processes that improve detection, investigation, response, and proactive defense operations.
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