Design and implement data-centric cybersecurity solutions: develop ML algorithms and automation for security tools; discover, parse, map, and transform legacy RMF artifacts into OSCAL; migrate and analyze security data; reproduce dashboards/workflows in eGRC; collaborate with Professional Services; produce migration assessments and reports.
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 be responsible for design and deliver data science and machine learning solutions that improve security and operational decision-making. Builds pipelines and models, validates performance, and deploys analytics in a maintainable way. Leads technical solution design and guides a team through implementation. Enables higher-value automation and insight generation from enterprise telemetry and datasets.
Job Responsibilities
- Design and implement ML/data science solutions aligned to mission/security needs.
- Build data pipelines, feature engineering approaches, and model evaluation methods.
- Create operational analytics, visualizations, and decision-support outputs.
- Lead technical design and execution of data science workstreams.
- Support containerized deployment and scalable engineering patterns where required.
Job Qualifications
- Master’s or PhD in a quantitative field such as: Statistics, Engineering, Computer Science or Economics required.
- 5+ years in ML engineering / data science / data engineering.
- Experience designing a technical solution and leading a team through implementation.
- Experience with OOP languages (as listed).
- Experience with Kubernetes and Docker.
- A certified analytics credential as specified in the labor category table.
- Must have at least a Certified Analytics Professional (CAP) certification.
- Must be eligible for 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
Similar Jobs
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Oversee DHMO quality management and utilization management governance, regulatory committees, audit readiness, corrective action monitoring, compliance reporting, and quality improvement. Analyze operational, financial, regulatory, satisfaction, grievance, and performance data to identify risks and trends. Develop governance processes, policies, reporting frameworks, and documentation standards. Partner with cross-functional stakeholders and leadership to improve compliance, organizational performance, member experience, and provider outcomes.
Top Skills:
ExcelMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft Word
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages strategic relationships with national commercial fleet clients, focusing on growth, retention, operational performance, and customer satisfaction. Monitors fleet KPIs, analyzes data, prepares reports, leads business reviews, resolves escalations, and coordinates cross-functional teams. Identifies process improvements, oversees SLA and audit performance, supports programs and SOPs, and provides proactive communication regarding operations, service issues, and product enhancements.
Top Skills:
Fleet Management Systems
Artificial Intelligence • Marketing Tech • Software • Generative AI • Automation
Lead Jasper’s enterprise growth engine across performance, lifecycle, field, account-based, and organic marketing. Partner with Sales and cross-functional leaders to drive predictable pipeline and revenue, optimize funnel performance through analytics, establish forecasting and reporting rhythms, and apply AI and automation to improve marketing execution. Build and coach a multidisciplinary, high-performing team while shaping company-wide growth strategy and overseeing campaign execution, experimentation, personalization, and investment optimization.
Top Skills:
AeoAICroGeoMarketing AutomationSaaSSeo
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
