Lead Data Scientist - Cyber Defense & Analytics

Remote; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Best in class medical coverage

401k with company match

PTO + holidays

Training and certifications

Job summary

True Zero Technologies is seeking a senior data science leader to design and implement enterprise cybersecurity analytics. You will build ML models, data architectures, and automated workflows to detect threats, map risk, and support threat hunting across ICE systems.

You will lead a cross-functional team, shape analytic methods, and deliver high-visibility dashboards for technical and leadership audiences. A CAP certification and security clearance eligibility are required.

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 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.

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.

Skills

Machine learning engineering

Data science

Team leadership

Python

Object oriented programming

Education

Master’s or PhD in Statistics / Engineering / Computer Science / Economics

Tools

Kubernetes

Docker

JSON

C++

Java

Python

R

Scala

Job description

True Zero Technologies is seeking a senior data science leader to design and implement enterprise cybersecurity analytics. You will build ML models, data architectures, and automated workflows to detect threats, map risk, and support threat hunting across ICE systems.

You will lead a cross-functional team, shape analytic methods, and deliver high-visibility dashboards for technical and leadership audiences. A CAP certification and security clearance eligibility are required.