Apply to 🙂Graph Analytics Engineer

What You Will Do:
• Maintain cross‑domain entity matching with temporal relationships and confidence evaluations.
• Measure false merges and missed links; publish evaluated thresholds for practical use cases.
• Preserve source‑linked evidence; rebuild projections cleanly across corrections and updates.
• Implement merge, split, rejection, correction workflows with downstream tracing of impacts.
• Enforce permissions in graph queries and views strictly across contexts and outputs.
• Build exploration paths and evaluated features for ranking and investigation workflows.
• Provide narrow mapping interfaces to sanitization paths and identity adjudication.
• Coordinate corrections into artifacts, embeddings, projections, and pending editions consistently.

What You Will Need:
• SIX (6)+ 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 Computer Science, Data Science, Analytics, Statistics, Mathematics, Engineering, or a related field.

What Would Be Nice To Have:
• Master's Degree in Data Science, Analytics, Statistics, Computer Science, 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.

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Additional Info

Can you describe a project where you developed or maintained an entity-matching system that linked records from multiple data sources? How did you handle temporal relationships, conflicting information, and confidence scores to determine whether records r

How would you evaluate an entity-matching system to measure false merges and missed links? What metrics, validation methods, and confidence thresholds would you use to balance accuracy and completeness?

Suppose an entity is incorrectly merged with another entity, and the error has already propagated to reports, graph projections, embeddings, and downstream applications. How would you correct the records, rebuild affected outputs, and ensure every change

How would you design a graph-based data system to ensure users can access only the entities, relationships, evidence, and derived outputs they are authorized to see, even when searching across multiple data sources or contexts?

Describe a situation where you had to resolve conflicting data interpretations or identity records while coordinating with technical experts, operational stakeholders, and senior leadership. How did you communicate uncertainty, prioritize corrections, and