Senior Data Scientist - Graphs & OSINT Platform (TS/SCI)

Leidos Inc; Bethesda (MD); On-site; USD 107,900 - 195,050; Full time

Job summary

Leidos is seeking a mission-driven Senior Data Scientist to join the NDOC DOMEX Technology Platform team. You will help build data intelligence pipelines for OSINT and DoW/IC use, collaborating with engineers and government stakeholders to design, develop, and deploy software solutions that advance national security.

You will work on embedding space solutions, graph analyses, and scalable analytics in a Kubernetes/cloud environment, shaping a future justice for data discovery and AI-driven

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field and 8-12 years of relevant experience, or Master's with 6-10 years of experience.
• Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph.
• Elasticsearch/OpenSearch architecture, index design, mappings, analyzers, and query optimization.
• Graph databases such as JanusGraph, Neo4j, TigerGraph, Amazon Neptune, or Memgraph.
• Graph analytics frameworks and algorithms, including graph traversal, centrality, community detection, similarity analysis, and link prediction.
• Experience training Neural Networks including data selection for train, evaluation and test.
• Experience with constructing static and interactive visualizations and dashboards including link charts.
• Proficient in Python.

Responsibilities

• Investigate and develop embedding space solutions for optimal search and discovery over structured datasets such as source code repositories, document references.
• Investigate graph-structure analysis to discover complex network structures meta-paths and meta-structures over heterogenous graphs.
• Design statistical approaches to handle near-duplicate data and uncertain relationships.
• Support and respond to requests from a Government Data Science team to discover and report specific findings within graph representations of data including the construction of custom dashboards, optimizing search queries, and transforming provided datasets into canonical graph structures.
• Support the design and optimization Elasticsearch indices to efficiently manage large-scale hierarchical classification structures, ensuring high-performance search, aggregation, and update operations.
• Support data engineering in the design, implementation, and maintenance of a graph data store supporting hierarchical graph structures optimized for large, dense batch updates and high-throughput analytics.
• Prototype ingestion pipelines that support scalable graph analytics.
• Support data engineering in implementations of data schemas, indexing strategies, and partitioning approaches to maximize query performance, scalability, and storage efficiency.
• Collaborate with infrastructure and platform engineering teams to deploy, operate, and optimize Elasticsearch and graph database services in a Kubernetes environment using cloud-native technologies.
• Partner with Data Scientists, Data Engineers and AI/ML Engineers to ingest, curate, manage, analyze, and securely expunge datasets throughout the data lifecycle.
• Develop automated data loading, transformation, validation, and quality assurance pipelines supporting production analytics workflows.
• Optimize graph and search infrastructure for high availability, resilience, and performance under large-scale analytical workloads.
• Collaborate with software engineers and system architects to integrate graph and search services into microservice-based applications.
• Participate in SAFe Agile development activities, including sprint planning, design reviews, architecture discussions, and technical demonstrations.
• Foster a culture of innovation, collaboration, and professional development within the team.
• Ensure sound engineering practices, compliance with policies, and delivery of high-quality software.
• Coordinate with test teams to develop and monitor automated system integration tests.
• Engage with cross-functional teams to identify and develop high-value integrations with other systems/applications.
• Provide specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components.

Skills

Elasticsearch/OpenSearch

Graph databases

Graph analytics

Python

Data visualization

NN training

DevOps basics

GNN (GCN/GTNs)

Anomaly Detection

Kubernetes

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

Kubernetes

Job description

Leidos is seeking a mission-driven Senior Data Scientist to join the NDOC DOMEX Technology Platform team. You will help build data intelligence pipelines for OSINT and DoW/IC use, collaborating with engineers and government stakeholders to design, develop, and deploy software solutions that advance national security.

You will work on embedding space solutions, graph analyses, and scalable analytics in a Kubernetes/cloud environment, shaping a future justice for data discovery and AI-driven