Leidos · 18 hours ago
Data Scientist - Senior
Fort Meade, MD
Full-time
Onsite
Senior Level, Lead/Staff
$116K/yr - $210K/yr
12+ years expLeidos is a company dedicated to delivering innovative solutions through a diverse and talented workforce. They are seeking a Senior Data Scientist to conduct advanced data analytics, data engineering, and statistical analysis to support informed decision-making for USCYBERCOM J2. This role involves building AI and ML tools, integrating data from various sources, and presenting findings to enhance mission effectiveness.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to uncover insights and enable data-driven decisions
Use scientific methods to transform raw data into actionable narrative products, including graphical, visual, written, and verbal reports tailored for stakeholders
Retrieve, manage, and merge data from disparate sources to build comprehensive and accurate datasets for analysis
Design, develop, and implement ML-based tools and processes, such as recommendation engines, automated lead scoring systems, and predictive analytics solutions
Perform statistical analysis and data mining techniques to identify patterns, trends, correlations, and build high-quality prediction systems supporting mission-critical objectives
Present analytic findings using advanced data visualization tools and graphical applications to intuitively communicate complex information
Document Operating Instructions (OIs) for command-wide programs and initiatives as assigned by the Government
Collaborate with analysts, engineers, and operations personnel to align analytic models and tools with mission requirements and evolving data needs
Stay abreast of advancements in data science, ML/AI technologies, and analytic tools to continuously improve analytic capabilities and workflows
Qualification
Required
Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years
Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree. Additional years of experience may be considered in lieu of degree
Proficiency in data visualization and graphical applications, such as Microsoft Office (Power BI), Tableau, or equivalent tools
Experience with data science programming languages, such as R and Python
Advanced skills in managing, merging, and analyzing disparate data sources, preferably through R, Python, or SQL
Demonstrated expertise in applying statistical analysis, data mining algorithms, and machine learning to large, multi-source intelligence datasets
Prior experience with Multi-INT analytics, ML, automated and predictive analytics in a large-scale or defense/intelligence environment
Active DoD TS/SCI with Polygraph required. We are not able to sponsor the clearance requirement
Preferred
Deep familiarity with USCYBERCOM organizational structure and mission
Prior experience supporting Joint operations across multiple warfighting domains
Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments
Knowledge of cloud computing service models Software as Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS)
Knowledge of computer networking concepts and protocols, and network security methodologies
Knowledge of cyber threats and vulnerabilities
Knowledge of cybersecurity principles
Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity
Knowledge of risk management processes (e.g., methods for assessing and mitigating risk)
Knowledge of specific operational impacts of cybersecurity lapses
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
Leadership Team
James Carlini
Chief Technology Officer
Theodore Tanner
Chief Technology Officer
Recent News
MarketScreener
2025-12-16
2025-12-16
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