Senior Data Scientist

What You Will Do:

Lead the development and application of entity resolution, identity resolution, knowledge graph, extraction, search, and AI-enabled discovery capabilities that transform complex data into actionable operational, analytical, and investment insights and support confidence in analytical outcomes.
Design and oversee data architectures, machine learning workflows, knowledge graphs, and analytical platforms.
Develop predictive models, ranking algorithms, and decision-support tools that turn complex data into actionable insights.
Partner with engineering teams to translate analytical requirements into scalable data products and operational capabilities.
Establish standards for model development, evaluation, validation, monitoring, and continuous improvement.
Guide ingestion, entity resolution, extraction, search, graph analytics, and AI-enabled discovery capabilities.
Evaluate emerging technologies, algorithms, and tools to improve analytical performance and mission outcomes.
Brief senior leadership on AI strategy, data science priorities, technical risks, and investment opportunities.

What You Will Need:

EIGHT (8)+ years of relevant experience.
Must be a U.S. Citizen.
Must be able to OBTAIN and MAINTAIN a Federal or DoD “TOP SECRET” security clearance
Demonstrated experience performing responsibilities directly related to the position.
Ability to work in complex, multidisciplinary environments.
Strong written and verbal communication skills.
Experience coordinating with senior leaders, technical experts, or operational stakeholders.
Ability to manage competing priorities and deliver quality results.
Bachelor’s degree in economics, Computer Science, Data Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related field.

What Would Be Nice To Have:

Master's Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Experience in intelligence, national security, defense, technology, or private‑sector mission environments.
Experience developing strategic plans, assessments, technical products, or operational frameworks.
Experience working across organizations and integrating diverse stakeholder requirements.
Familiarity with data analytics, AI/ML, knowledge management, or operational planning.
Experience supporting executive decision‑making and governance processes.
Experience leading teams, projects, programs, or technical initiatives.
Demonstrated ability to improve processes, methodologies, and mission outcomes.