Data Scientist
At a glance
Mid-level Data Science role at Leidos. Englewood · full-time · $107,900–$195,050 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build statistical models, test ideas against data, and present findings with clear summaries and visualizations
- Create and maintain data pipelines that collect, transform, normalize, and deliver information from varied sources
- Query multiple databases with SQL and APIs, scrape web data, and analyze unstructured material
- Improve internal workflows by automating manual tasks and maintaining data used for metrics and evaluation
- Develop analytics dashboards and help shape enterprise data tools and architecture with technical teams and stakeholders
What you bring
- You need U.S. citizenship and an active TS/SCI clearance, with eligibility for a TS/SCI with polygraph
- Bring a relevant technical degree plus at least eight years of experience, or additional experience in place of the degree
- You have hands-on experience extracting and analyzing data, building pipelines, normalizing datasets, and running complex database queries
- You can program in Python or R, use machine-learning tools, and work with Excel and Access on datasets and databases
- You can explain technical findings to varied audiences and produce executive-facing materials
Who this fits
This role suits an experienced data scientist comfortable working across structured and unstructured data, building pipelines, and briefing both technical teams and senior officials. The position is in Englewood, Colorado, and requires U.S. citizenship plus the stated security-clearance qualifications.
From the employer
Leidos is seeking an experienced Data Scientist in Englewood, CO.
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 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
Perform web scraping and apply various techniques for processing unstructured data
Identify, design, and implement internal process improvements
Optimize data delivery, and automate manual processes
Curate and maintain data stored in support of metrics and evaluation
Design, build, test, maintain, and automate data collection/pipelines
Develop Dashboards for Data Analytics
Leverage available resources to normalize and manage data, predict scenarios and make recommendations
Contribute to building new analytical tools and packages across the enterprise
Contribute to the design and evolution of the client’s enterprise data architecture, ensuring interoperability, security, and alignment with business goals
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:
US Citizenzhip
Active TS/SCI and eligible to obtain a 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. Additional years of experience in lieu of degree are acceptable.
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 MS Excel and MS Access for design, development and exploitation of datasets and databases
Proficiency with programming (e.g. Python, R) 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
Desired Knowledge:
Familiarity with non-linear workflows
Familiarity with TTP development process
Knowledge of computer science concepts, data architecture, and statistics
Experience/familiarity with frequentist statistics and probability including predicative modeling
Experience with Tableau
#NSBA
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
September 16, 2026For 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 $107,900.00 - $195,050.00The 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.
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