Senior Data Scientist

Leidos; Rockville (MD); Hybrid; USD 131,300 - 237,350; Full time

Benefits offered by this job

Health and wellness programs

Retirement benefits

Competitive compensation

Job summary

Leidos is seeking a Senior Data Scientist to lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications. This role involves collaboration with multi-disciplinary teams and the application of cutting-edge techniques in statistical analysis and operational analytics.

Key qualifications include a relevant Bachelor’s or Master’s degree and over 12 years of experience in data science, along with an active Top Secret clearance. The position offers a competitive salary range of $131,300.00 – $237,350.00 and promotes a flexible work environment.

Qualifications

• 12+ years of experience in data science or analytics is required.
• Active Top Secret clearance is necessary.
• Experience with hybrid teams is crucial.

Responsibilities

• Lead the design and deployment of AI/ML solutions.
• Collaborate with teams to solve complex challenges.
• Work with diverse data types and modern tools.

Skills

Data Science

AI/ML Solutions

Python

Collaboration Skills

Statistical Analysis

Problem Solving

Education

Bachelor's or Master's in a quantitative field

Tools

Python

PyTorch

Docker

Kubernetes

SQL

Job description

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Join Leidos’ all-star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise‑scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission‑focused professionals ready to take their career to the next level.

As a Senior Data Scientist, You Will

• Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission‑critical applications.
• Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production‑ready algorithms and platforms.
• Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
• Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit‑learn, LLM frameworks, and geospatial analytics platforms.
• Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast‑paced, engineering‑centric environment.
• Enjoy flexible work arrangements, including remote and on‑site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).

What You Bring

• Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree.
• 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s).
• Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
• Proficiency in Python and at least one other scripting language.
• Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user‑friendly analytical platforms.
• Track record of creative problem solving, active learning, and mission‑focused outcomes.
• Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift).

Preferred Qualifications

• Experience supporting military or intelligence community customers.
• Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
• Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
• Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
• Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.

Pay range: $131,300.00 – $237,350.00.

Pay and benefits: Competitive compensation, health and wellness programs, income protection, paid leave, and retirement.

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.