Lead Data Scientist
Crisis24Annapolis, Maryland, United States
Posted February 11, 2026
Full Time
About the Company
Crisis24, a GardaWorld subsidiary, delivers integrated risk management, crisis response, and protective services to high-profile individuals, brands, and organizations worldwide. Leveraging a global network of operations centers, advanced AI, and a team of seasoned intelligence analysts, the firm provides 24/7 security consulting, risk intelligence, and business continuity solutions. Its portfolio spans actionable risk management, critical event coordination, travel and people risk services, and medical assistance. Crisis24's combination of real-time analytics, global reach, and deep industry expertise sets it apart as the premier partner for organizations seeking proactive, technology-driven security and resilience.
Job Description
Crisis24 is a global AI-enhanced provider of travel risk management, mass communications, critical event management, crisis-security consulting, personal protection solutions and global medical concierge capabilities.
Requirements
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field.
- 8+ years of experience in data science, machine learning, or advanced analytics, with a proven track record of successful project delivery and leadership.
- Expertise in statistical modeling, ML, deep learning, data/text mining, and Gen AI prompting.
- Proficient in Python and SQL; experienced with large-scale, real-time data.
- Skilled in AWS and MLOps tools for model deployment and monitoring.
- Proven experience building and deploying production-grade ML systems.
- Strong knowledge of data visualization tools and methods.
- Excellent critical thinking and creative problem-solving skills.
- Committed to ethical data science and data privacy regulations.
Benefits
- Protect the data and systems of Crisis24 and its stakeholders by adhering to policies, reporting incidents and potential problems, completing regular training, and identifying opportunities for improvement.
