About Spear AI: Spear AI delivers cutting-edge artificial intelligence solutions tailored specifically for maritime defense and national security operations. Leveraging advanced data management, AI-driven decision intelligence software, and innovative sensor technologies, Spear AI provides mission-critical capabilities to government, defense, and intelligence customers. Founded by maritime and technology experts with extensive operational experience, Spear AI is positioned to be a leading provider of scalable, integrated AI solutions for defense applications. About the Role: Spear AI seeks a Data Scientist to advance applied machine learning and analytics within the an AI Task Force. This position blends technical expertise with mission-focused applications to deliver actionable intelligence.
ABOUT THE JOB
Primary Responsibilities: Develop, validate, and deploy tailored machine learning models for national security missions. * Analyze extensive datasets to discover actionable insights and automation opportunities. * Collaborate closely with engineers and software teams to prototype and operationalize data solutions. * Optimize algorithms and validate model performance in secure, operational environments.
RESPONSIBILITIES
- Develop, validate, and deploy tailored machine learning models for national security missions.
- Analyze extensive datasets to discover actionable insights and automation opportunities.
- Collaborate closely with engineers and software teams to prototype and operationalize data solutions.
- Optimize algorithms and validate model performance in secure, operational environments.
QUALIFICATIONS
- 3–7 years experience in data science, ideally within national security contexts.
- Proficiency in Python and core data science tools (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
- Experience operating within secure, classified computing environments.
- Ability to convert ambiguous operational needs into structured analytic tasks.
- Familiarity with DoD/IC data systems and security standards.
ADDITIONAL ELIGIBILITY
Required Experience: 3–7 years experience in data science, ideally within national security contexts. * Proficiency in Python and core data science tools (NumPy, pandas, scikit-learn, PyTorch/TensorFlow). * Experience operating within secure, classified computing environments. * Ability to convert ambiguous operational needs into structured analytic tasks. Preferred Experience: Familiarity with DoD/IC data systems and security standards.
OTHER
Active TS/SCI clearance.