Stateside Spec Engineering jobs in the United States

Leidos

Data Scientist

Englewood, CO · On-site · Senior

Discipline
Software
Industry
Defense
Constraints
Citizenship required by contract TS/SCI

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Data Scientist role in Englewood, CO building and optimizing data pipelines, dashboards, and analytics tools within a regulated, security-cleared environment; requires TS/SCI with poly and U.S. citizenship.

$107,900–$195,050 / year · Day shift · 8+ years · Bachelor of Science Degree in Data Science, Computer Science, Mathematics, Statistics or other relevant technical program

Required

  • US Citizenship
  • Active TS/SCI and eligible to obtain a TS/SCI w/poly clearance
  • Experience with data extraction and analysis from COTS products
  • Experience with data pipelines and normalizing data
  • Proficiency with programming (Python, R)
  • Experience with data visualization
  • Experience constructing and performing complex database search queries
  • Strong communication and executive-level deliverables

Preferred

  • Tableau
  • Experience with unstructured data
  • Familiarity with data architectures
  • Non-linear workflows
  • TTP development process

Benefits

  • medical
  • 401k
  • PTO

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Employer description

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, 2026

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 $107,900.00 - $195,050.00

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.

Stateside Spec lists roles for engineering teams in the United States. Work-authorization notes come from the employer. We do not guarantee visa policy. Apply off-site. Report an issue with this listing View employer source