Senior Data Scientist

Beyond SOF; Washington (District of Columbia); Vor Ort; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

Beyond SOF is seeking a senior data/AI leader to advance entity resolution, identity resolution, knowledge graphs, and AI-enabled discovery. You will design scalable data architectures and ML workflows, delivering predictive models and decision-support tools that transform complex data into actionable insights.

You will collaborate with engineering teams to translate requirements into deployable data products, set governance standards, evaluate new tech, and brief senior leaders on strategy and

Qualifikationen

• 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.
• 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.

Aufgaben

• 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 insights.
• 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.

Kenntnisse

Entity resolution

Identity resolution

Knowledge graphs

Data architectures

Machine learning workflows

Analytical platforms

Predictive modeling

Stakeholder communication

Cross-functional collaboration

Ausbildung

Bachelor’s degree in economics, Computer Science, Data Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related field

Master’s Degree in Computer Science, Data Science, AI, Engineering or related field

Jobbeschreibung

• 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 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.