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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 work streams.
- 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
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
