Data Scientist

Nabout Leidos
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 237K

Job location

Tech stack

Artificial Intelligence
Business Analytics Applications
JIRA
Azure
Microprocessors
Distributed Systems
Elasticsearch
Field-Programmable Gate Array (FPGA)
Revision Control Systems
Graph Database
Hadoop
Information Retrieval
Intelligence Analysis
Python
Machine Learning
Neo4j
Openshift
SQL Databases
Subversion
Scripting (Bash/Python/Go/Ruby)
Graphics Processing Unit (GPU)
Large Language Models
Spark
Social Network Analysis
GIT
Kubernetes
Information Technology
Streamlit Framework
Docker

Requirements

  • 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.\n
  • 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master's).\n
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.\n
  • Proficiency in Python and at least one other scripting language.\n
  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.\n
  • Track record of creative problem solving, active learning, and mission-focused outcomes.\n
  • Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift).\n, * Experience supporting military or intelligence community customers.\n
  • Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.\n
  • Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).\n
  • Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).\n
  • Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.\n

Benefits & conditions

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.\n \n 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.\n \n \nAs a Senior Data Scientist, you will:\n \n \n

  • Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications.\n
  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.\n
  • Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.\n
  • 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.\n
  • Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.\n
  • Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).\n

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