> Markdown version of [/jobs/ext/4618343-data-scientist-team-lead-r-00230](https://www.wearedevelopers.com/jobs/ext/4618343-data-scientist-team-lead-r-00230). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist Team Lead (R-00230)

- **Company:** REMOTE
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, C++ (Programming Language), Cyber Security, Data Architecture, Data Mining, Data Systems, Data Visualization, R (Programming Language), JSON, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Security Information and Event Management, Software Engineering, Technical Data Management Systems, SC Clearance, Containerization, Kubernetes, Information Technology, Data Analytics, Cyber Warfare, Data Pipelines, Docker, Security Orchestration, Automation & Response
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_4cfa315428157e7273bedf6dd59807f8

## About the Role

* 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.

## Description

* 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.