Senior Data Scientist

Leidos; 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 design, develop, and deploy data intelligence pipelines supporting OSINT and document exploitation for DoW and the IC, helping build a future AI-managed DOMEX Data Discovery Platform.

You will lead embedding space searches, graph analytics, and scalable pipelines, collaborating with government stakeholders and engineers in a Kubernetes/cloud environment.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field with 8–12 years of relevant experience, or Master’s with 6–10 years of experience.
• Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph.
• Experience with Elasticsearch/OpenSearch architecture, index design, mappings, analyzers, and query optimization.
• Experience with Graph databases (JanusGraph, Neo4j, TigerGraph, Neptune, Memgraph).
• Graph analytics capabilities (centrality, community detection, similarity, link prediction).
• Experience training Neural Networks and data selection for train/evaluate/test.
• Experience with building visualizations and dashboards.

Responsibilities

• Investigate embedding space solutions for search over structured datasets.
• Analyze graph structures and meta-paths across heterogeneous graphs.
• Design statistical approaches for near-duplicate data and uncertain relationships.
• Support data science requests from government teams for dashboards and data transformation.
• Develop and optimize Elasticsearch indices for large-scale hierarchies and high-throughput analytics.
• Prototype scalable graph analytics ingestion pipelines.
• Collaborate with software engineers to integrate graph and search services into microservices.

Skills

Elasticsearch/OpenSearch

Graph databases

Graph analytics

Python

Neural networks

Data visualization

Linux

Containerization

CI/CD

Top Secret/SCI clearance

Education

Bachelor's degree in Computer Science or related field

Tools

JanusGraph

Neo4j

TigerGraph

Amazon Neptune

Memgraph

Job description

Description

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Leidos is seeking a mission-driven Senior Data Scientist to join our high-impact team supporting the National Digital Exploitation and Open Source Center (NDOC) DOMEX Technology Platform (DTP). In this role, you will help improve data intelligence pipelines serving both Open Source Intelligence (OSINT) operations and document media exploitation for the Department of War (DoW) and the broader Intelligence Community (IC). You’ll play a critical role in developing a future state AI-managed DOMEX Data Discovery Platform (D3P) and DIA-NDOC’s mission.

As a key technical leader, you will collaborate with talented scientists, engineers, product owners, and government stakeholders to design, develop, and deploy innovative software solutions that make a real difference to national security.

You will work closely with the team on the following key tasks

• 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.

To be successful in this role you need these skills (required)

• 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.

You will wow us even more if you have some of these skills

• Experience with Linux, containerization, CI/CD pipelines, and Infrastructure-as-Code.


• Familiar with Graph Neural Networks including GCN and GTNs.


• Experience with Anomaly Detection models.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Pay Range $107,900.00 - $195,050.00

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.