Data Scientist Team Lead (R-00230)

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.
• Apply data science and automation to cyber threat hunting activities to increase analytical maturity
• and reduce manual investigative processes.
• 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.

Job Qualifications

• 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

Investment in training and certifications to broaden and deepen your technical skills