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Data Scientist

Leidos Bethesda, MD

Bethesda, MD

Today

$70k - $126k/yr Full time Analytics Artificial Intelligence Big Data

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Job Description

The Data Scientist role at Leidos focuses on research‑level data analytics, machine learning, natural language processing, and data fusion for national security. This position operates on a research‑oriented team at a customer site in Bethesda, MD, delivering results, publications, and actionable intelligence insights on site.

Job Details

Location: Bethesda, MD (onsite)
Salary: USD 69,550 – 125,725 per year
Minimum Experience: 2+ years
Education: Bachelor's degree or Master's degree (or equivalent graduate degree)

Responsibilities

Collaborate within a compact data science team and with a broader group of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform that produces results, disseminates findings, and supports publications and presentations.
Advance small projects that analyze diverse big data across national security, cyber security, business intelligence, online social media, human behavior, and related domains.
Support multiple concurrent projects and operate under open‑ended or high‑level guidance.
Independently and collaboratively identify discoveries with mission relevance.
Package and convey findings to non‑technical audiences in a clear, actionable manner.
Apply a blend of curiosity, quantitative acumen, and customer focus to identify novel data sources, improve predictive algorithms, and promote user adoption of advanced analytics platforms in partnership with a motivated team.
Leverage expertise in research design, exploratory analysis, quantitative methods, user interface design for applications, and customer outreach to drive impact.

Requirements

Bachelor’s degree in a quantitative or analytical field (including Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science) with 2+ years of experience; or a Master’s degree or equivalent graduate degree with less than 2 years of experience.
Active TS/SCI clearance with the ability to obtain TS/SCI with polygraph.
Experience in data science, analytics, or quantitative intelligence analysis, showing progressive technical development and outcomes.
Proficiency in Python or other scripting languages.
Experience deploying data science applications (for example, using Streamlit) with Docker, Kubernetes, or OpenShift.
Familiarity with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or SQL.
Experience collaborating with a hybrid team of analysts, engineers, and developers to conduct research and develop deployable yet user‑friendly algorithms and analytical platforms.
Previous work in data science or research focusing on data analytics or big data that does not fit into memory.
Proven track record of active learning and creative problem solving.
Ability to analyze software development or data acquisition requirements and determine optimal, cost‑effective solutions.
Familiarity with git or other version control systems.
Demonstrated ability for independent ownership of work and timely delivery with minimal supervision.

Technologies

Python
Streamlit
Docker
Kubernetes
OpenShift
Elasticsearch
Kibana
SQL
git
neo4j
Graph ML
AWS

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