Senior Data Scientist

Guidehouse•Dc, DC

About The Position

The Senior Data Scientist leads the development and application of entity resolution, identity resolution, knowledge graph, extraction, search, and AI-enabled discovery capabilities to transform complex data into actionable operational, analytical, and investment insights and support confidence in analytical outcomes. The role designs and oversees data architectures, machine learning workflows, knowledge graphs, and analytical platforms, and develops predictive models, ranking algorithms, and decision-support tools. The position partners with engineering teams to translate analytical requirements into scalable data products and operational capabilities. It establishes standards for model development, evaluation, validation, monitoring, and continuous improvement; guides ingestion, entity resolution, extraction, search, graph analytics, and AI-enabled discovery; and evaluates emerging technologies, algorithms, and tools to improve analytical performance and mission outcomes. The Senior Data Scientist also briefs senior leadership on AI strategy, data science priorities, technical risks, and investment opportunities.

Requirements

Bachelor's degree.
Eight or more years of relevant data science, analytics, management, modeling, or other data-focused experience.
Must be able to obtain and maintain a Federal or DoD Top Secret security clearance; approved clearance adjudication is required before onboarding.
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.

Nice To Haves

Active Top Secret or higher-level Federal or DoD security clearance.
Master's degree.
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.

Responsibilities

Lead development and application of entity resolution, identity resolution, knowledge graph, extraction, search, and AI-enabled discovery capabilities.
Design and oversee data architectures, machine learning workflows, knowledge graphs, and analytical platforms.
Develop predictive models, ranking algorithms, and decision-support tools that convert 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.