Data Scientist

Leidos; Maryland; Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Health and Wellness programs

Income Protection

Paid Leave

Job summary

Leidos seeks a Data Scientist focused on mission-focused big data and predictive analytics for national security. You will collaborate across data scientists, software engineers, and program managers to design a scalable Search and Discovery platform and deliver findings via reports and presentations.

Responsibilities include developing analytics apps (e.g., Streamlit) deployed with Docker/Kubernetes/OpenShift, exploring new data sources, and improving predictive models for client missions,

Qualifications

• Bachelor's or Master's in a quantitative field or equivalent with training.
• 4+ years of data science/analytics; with Master's, 2+ years.
• Active TS/SCI clearance; ability to obtain polygraph.

Responsibilities

• Collaborate with cross-disciplinary teams to design, build, and refine a Search and Discovery platform for locating results and generating reports.
• Pursue research tasks to improve indexing and data organization for better discovery.
• Develop reusable agents and tools within a broader agent-based solution space.
• Manage multiple projects and present findings to non-technical audiences.

Skills

Python

Elastic Stack

SQL

Docker

Kubernetes

OpenShift

Streamlit

Git

Pydantic AI

LangGraph

Education

Bachelor's degree in quantitative/analytical field

Master's degree or equivalent with advanced training

Tools

Docker

Kubernetes

OpenShift

Elastic Stack

SQL

Git

Streamlit

Pydantic AI

LangGraph

Job description

Data Scientist at Leidos focused on mission-focused big data and predictive analytics for national security, with research-level analytics and cross-functional collaboration, and flexible on-site/remote work based on client requirements.

Responsibilities

• Collaborate with a cross-disciplinary team of data scientists, software engineers, network specialists, senior investigators, program managers, researchers, and data analysts to design, build, and refine a Search and Discovery platform that locates, organizes results, disseminates findings via reports, and supports publications and presentations.
• Pursue research tasks to identify optimal indexing and data organization strategies to enhance discovery.
• Develop agents and tools as reusable elements within a broader agent-based solution space.
• Manage multiple concurrent projects, use open-ended guidance, and independently or with teammates uncover mission-relevant insights, then package and present findings to non-technical audiences.
• Apply curiosity, quantitative acumen, and customer focus to identify novel data sources across fields, improve predictive algorithm performance, and promote adoption of advanced data analytics platforms with a skilled, motivated team.
• Utilize expertise in research design, exploratory analysis, quantitative methods, UI application design, and customer outreach and engagement.

Requirements

• Bachelor's degree in a quantitative or analytical field (examples include Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science) or Master's degree or equivalent graduate degree with certificate-based advanced training.
• 4+ years of experience in data science, analytics, or quantitative intelligence analysis, demonstrating progressive technical development; with a Master's degree, 2+ years of experience is required.
• Active TS/SCI clearance required; able to obtain and maintain a polygraph.
• Proficient in Python.
• Experience deploying data science applications (for example Streamlit) using Docker, Kubernetes, and/or OpenShift.
• Experience with information retrieval and search technologies, such as Elastic Stack (Elasticsearch, Kibana) and SQL.
• Familiar with Git and cooperative software development practices.
• Experience working with a hybrid team of analysts, engineers, and developers to research, build, and deploy complex yet user-friendly algorithms and analytics platforms.
• Demonstrated active learning and creative problem solving.
• Experience in co-development and cooperative research to maximize reuse of team products.

Technologies

• Python
• Docker
• Kubernetes
• OpenShift
• Elastic Stack (Elasticsearch, Kibana)
• SQL
• Git
• Streamlit
• Agno
• CrewAI
• Pydantic AI
• LangGraph

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave