Data Scientist
Role details
Job location
Tech stack
Job description
Neo4j Physics Teamwork Research Equities Scripting OpenShift DevSecOps LangChain Streamlit Innovation Algorithms Kubernetes Statistics Data Types Mathematics Market Data Data Science Observability Apache Hadoop Cyber Security Version Control, * 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)., 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. Related Jobs Data Scientist Leidos Odenton, MDOn-Site Power BI Equities Statistics Mathematics Cleanliness Market Data Data Science Data Modeling Data Processing Ancient History Computer Science Machine Learning Cyber Operations Malware Analysis Data Intelligence Data Visualization Workflow Management Operations Research Advanced Mathematics Signals Intelligence Technical Requirements Artificial Intelligence Large Language Modeling C (Programming Language) C++ (Programming Language) Probability And Statistics Python (Programming Language) Tableau (Business Intelligence Software) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Senior Data Scientist Leidos Alexandria, VAOn-Site JIRA Neo4j Physics Teamwork Research Equities Scripting OpenShift DevSecOps LangChain Streamlit Innovation Algorithms Kubernetes Statistics Data Types Mathematics Market Data Data Science Observability Apache Hadoop Cyber Security Version Control, Neo4j Physics Teamwork Research Equities Scripting OpenShift DevSecOps LangChain Streamlit Innovation Algorithms Kubernetes Statistics Data Types Mathematics Market Data Data Science Observability Apache Hadoop Cyber Security Version Control Microsoft Azure Social Sciences Active Learning Knowledge Graph Ancient History Computer Science Machine Learning Data Engineering Docker (Software) Apache Subversion Advanced Analytics Hardware Platforms Intelligence Agency Geospatial Analysis Statistical Analysis Top Secret Clearance Predictive Analytics Explainable AI (XAI) Supply Chain Analysis Intelligence Analysis Information Retrieval Artificial Intelligence Large Language Modeling Social Network Analysis Creative Problem Solving SQL (Programming Language) Product Family Engineering Git (Version Control System) Python (Programming Language) Scikit-Learn (Python Package) PyTorch (Machine Learning Library) Field-Programmable Gate Array (FPGA) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0
Requirements
Social Sciences Active Learning Knowledge Graph Ancient History Computer Science Machine Learning Data Engineering Docker (Software) Apache Subversion Advanced Analytics Hardware Platforms Intelligence Agency Geospatial Analysis Statistical Analysis Top Secret Clearance Predictive Analytics Explainable AI (XAI) Supply Chain Analysis Intelligence Analysis Information Retrieval Artificial Intelligence Large Language Modeling Social Network Analysis Creative Problem Solving SQL (Programming Language) Product Family Engineering Git (Version Control System) Python (Programming Language) Scikit-Learn (Python Package), Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path., * 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)., * 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.
Benefits & conditions
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 .