Security Data Scientist

Title: Principal Security Data Scientist
Location: Remote
Duration: 6+ months
Compensation: $117- $181/hr
Work Requirements: , Holders or Authorized to Work in the U.S.

Security Data Scientist

As a Principal Data Science Security Engineer, you will be part of the Global Security Detection Engineering team. This global team is responsible for detecting and responding to sophisticated cyber threats and attacks. In your role you will leverage a variety of tools and resources to develop traditional ML models and Agentic AI that proactively detect, investigate, and respond to emerging and/or persistent threats impacting the client and/or its customers

Responsibilities:

• Assist with the development of a multi agent AI system leveraging current industry knowledge around AI Engineering
• Researching, developing, implementing, and managing data-driven algorithms, AI/ML techniques, & classical statistics for threat detection, behavior analytics, vulnerability assessment, prediction, and prevention
• Communicating complex data findings, model predictions, and the implications to non-technical stakeholders using reports and visualizations
• Staying abreast of the latest research, developments, experimentations, and products in the AI/ML and cybersecurity landscapes to identify new opportunities
• You will be providing hands-on solutions, customization and tuning, automation, and use case development for the SIEM, SOAR, and other stakeholder requirements for threat informed defense strategies
• You will support leading production level projects to completion as a contributor and a collaborator between multiple stakeholder teams including the Security Operations Center (SOC), Threat Intelligence, Incident Response, and Incident Response
• You will be working on a globally distributed team and expected to create and present strategies, technical plans, and architecture to audiences of technical and executive leadership levels when asked.
• You will also maintain existing internal code, use cases, and further extend SIEM and SOAR integrations aligned to the Detection Engineering program efforts
• You will design and engineer Security Operations focused integrations and automations including diagrams, documentation, and threat modeling of what is built
• You will support the Director of Detection Engineering in directly enhancing the strategic capabilities of the program through complex technical projects

Basic Qualifications:

• Experience with AI Engineering & LLMOps, beyond prompt engineering, to include tuning & training language models, model selection criteria, agent design, eval systems, pipelines, RAG, custom embeddings, and monitoring
• Experience with creating large datasets (Big Query/ Big Lake) and knowledge graphs
• 5+ years of working experience with the Data Science Lifecycle, MLOps workflows & tools, and the python data science stack, with a proven track record of leading significant data science projects from conception to deployment
• 8+ years of security and hands on technical automation experience, with 5 or more of those years focused on creating use cases and detection focused automation (can substitute years of security experience with data science experience and vice versa)
• The ability to lead complex projects, other team members, and support building strategic and technical initiatives
• 5-7 years of operational experience working directly with or in security operational teams including: SOC, Threat Intelligence, and Incident Response
• Deep understanding of SOC, SIEM, and other engineering best practices, limitations, and ways of extending or customizing threat detection automation related use cases
• Demonstratable hands-on skills in a major scripting/programming language or a search query language for use in security operations and threat detection
• Splunk Cloud ES and Splunk SOAR (Phantom) Experience highly preferred

Preferred Qualifications:

• Experience with a major public cloud service provider (CSP) preferred
• Master's or advanced degree in Data Science, Computer Science, Statistics, Math, Physics, or Engineering
• Deep understanding of classical Machine Learning theory, high dimensional data methods, NLP, and time series methods
• Publications in relevant Math, Computer Science, Machine Learning, Data Science, or Security journals
• Understanding of Data Observability and Data Management practices, especially around drift, quality, maintenance, cleaning, and processing

Our benefits package includes:

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• ...and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities