🕒 4 days ago
Leads AI and machine-learning research on workforce and public-program data, serving as PI or co-PI while shaping research methods, datasets, proposals, and responsible-AI practices.
Data Scientist Team Lead (R-00230)
📅 Sep 14
Data ModelingMachine LearningCybersecurity AutomationAnalytical Workflows
📜 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, and correlation of cybersecurity information.
- Design and implement custom algorithms, analytical processes, and data architectures for complex enterprise scale data sets.
- Develop advanced analytical capabilities supporting predictive risk analysis, risk identification, and cyber risk cost analysis.
- Design data pipelines and workflows that analyze information from multiple disparate security and enterprise data sources.
🛠️ Requirements
- Experience with architecting and designing novel analytic methods using machine learning
- Experience with designing and developing automation for security tools management and creating
- Ability to support high visibility reporting on cybersecurity data through development of data
✨ Benefits
- Competitive salary, paid twice per month
- Best in class medical coverage
- 100% of medical premiums covered by True Zero
- 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
Full job description
True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that those outcomes begin and end with our people, and that is what we have built a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross revenue) and “Mid-Atlantic Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In addition, True Zero earned coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025, a testament to our sustained growth driven by our people-first approach and unwavering dedication to excellence.
This role will serve as a senior technical resource responsible for developing data
models, machine learning capabilities, analytical workflows, and cybersecurity automation
across large and disparate enterprise data sets. The role will work closely with Security
Operations Center personnel, cyber threat hunters, cyber threat intelligence analysts, penetration
testers, digital forensics personnel, and cybersecurity engineers to transform security telemetry
and threat intelligence into actionable defensive capabilitie
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
models, machine learning capabilities, analytical workflows, and cybersecurity automation
across large and disparate enterprise data sets. The role will work closely with Security
Operations Center personnel, cyber threat hunters, cyber threat intelligence analysts, penetration
testers, digital forensics personnel, and cybersecurity engineers to transform security telemetry
and threat intelligence into actionable defensive capabilitie
Job Responsibilities
cybersecurity operations.
threat hunting, UEBA, and correlation of cybersecurity information across the ICE enterprise.
complex enterprise scale data sets used for modeling, data mining, research, and cyber defense.
mapping, cyber risk cost analysis, supply chain threat identification, and User and Entity Behavior
Analytics.
multiple disparate security and enterprise data sources.
threats, attack patterns, and other indicators of malicious activity.
and impact, user behavior anomalies, and other relevant cybersecurity data.
and reduce manual investigative processes.
simulations designed to estimate cyber attack probability and potential cost or impact.
to evaluate the potential financial and operational impact of cyber incidents.
alerting mechanisms.
communicate complex cybersecurity data, trends, risks, and analytical findings to technical and
leadership audiences.
customized searches, and security applications.
Security Orchestration, Automation, and Response platforms.
optimization, and maintenance of security data analytics capabilities.
cybersecurity capabilities.
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.
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.
software development for data solutions.
• Experience with designing a technical solution and leading a team in the implementation of the
technical design.
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.
visualizations and/or dashboards.
• Must possess at least a Certified Analytics Professional (CAP) certification and be eligible for a Secret clearance.
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