Data Scientist

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Unleash your potential at Leidos where we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer's success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision and Values guide the way we do business.

The Intelligence Operations Division is seeking a Data Scientist in McLean, VA to support an office focused on performing business analytics for a major IC customer. Candidate must have an active TS/SCI w/Poly Clearance.

Primary Responsibilities:

• Assemble large, complex sets of data to meet functional and other requirements
• Build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
• Build large language models to create classification algorithms, assess semantic similarity, and create summarization tools.
• Build requisite infrastructure for optimal extraction, transformation and loading of data from various sources
• Perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics
• Construct and perform complex database search queries in multiple databases using SQL and API interfaces
• Curate and maintain data stored in support of metrics and evaluation
• Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
• Contribute to building new analytical tools and packages across the enterprise
• Collaborate with team members in a highly technical environment
• Collaborate with multiple stakeholders to drive data integration initiatives and foster a data-driven culture
• Analyze current data structure, tagging, and quality standards to discover and address anomalies
• Analyze current practices to ensure compliance with relevant regulations and contract requirements
• Learn and leverage emerging technologies as they become available/accepted within the customer environment
• Brief and interact with personnel at all levels of experience, including Senior Officials

Basic Qualifications:

• Must currently possess n active TS/SCI w/Poly clearance
• Bachelor of Science Degree in Data Science, Computer Science, Mathematics, Statistics or other relevant technical program, with 8+ years of experience (or 5 additional years of experience in lieu of degree)
• Skilled in data extraction and analysis from COTS products
• Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
• Experience constructing and performing complex database search queries
• Experience establishing/developing data pipelines and normalizing data
• Proficiency with programming (e.g. Python, R, SQL) and machine learning toolkits
• Advanced problem-solving skills for unstructured datasets
• Capable of presenting technical information effectively to both technical and non-technical audiences
• Strong organizational, time management, and omnidirectional communication abilities
• Technical writing and critical reading
• Experience producing executive-level products
• Ability to work efficiently on small, distributed teams

Preferred Qualifications:

• Knowledge of computer science concepts, data architecture, and statistics
• Experience/familiarity with frequentist statistics and probability including predicative modeling
• Familiarity with Intelligence Community organizations and data

Original Posting:
April 24, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:
Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.