Data Scientist – Team Lead

Job not on LinkedIn

🔥 15 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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True Zero Technologies, LLC

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

True Zero Technologies, LLC is a veteran-owned company specializing in cybersecurity solutions. The company offers a range of services including security engineering and architecture, emerging technology adoption, cyber operations, cyber threat intelligence, penetration testing, and information assurance. True Zero is also recognized for its managed services and cloud security capabilities. The company partners with technology leaders such as Tanium, Splunk, Cribl, and Zscaler to deliver high-impact, high-value solutions that help organizations innovate while enhancing their security and operational programs. True Zero is committed to empowering organizations with actionable insights to secure their IT environments effectively.

📋 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 datasets 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 and develop 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

🎯 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 • Must be eligible for a Secret clearance

🏖️ Benefits

• 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