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Data Scientist

Job in Sterling, Loudoun County, Virginia, 22170, USA
Listing for: CACI International Inc
Full Time position
Listed on 2025-12-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 69100 - 141500 USD Yearly USD 69100.00 141500.00 YEAR
Job Description & How to Apply Below
Location: Sterling

Join to apply for the Data Scientist role at CACI International Inc

Job Category:
Science

Time Type:
Full time

Employee Type:
Regular

Percentage of

Travel Required:

Up to 10%

Type of Travel:
Continental US

Minimum Clearance Required to Start: TS/SCI with Polygraph

Opportunity

Seeking a Data Scientist to support model and algorithm development. The Data Scientist is responsible for identifying, acquiring, transforming and analyzing unique data to assess system performance and inform decision making. They will support data integration and modeling; asking and developing operations, planning and assessment questions; interpreting data made available by stakeholders and data owners; and supporting development teams building tools to alert, analyze and nominate alternatives.

Responsibilities
  • Provide statistical and mathematical support to analyze and interpret a wide range of data.
  • Interpret and analyze information needs, and design and implement data analysis projects to address those needs by incorporating best practices, appropriate data, models and algorithms as well as proven techniques from experience or research methods.
  • Conduct software planning tool Architecture and Engineering Analysis to ensure integration of existing and future models and algorithms are in compliance with policies, architecture and resources.
  • Document, analyze, and (as needed) enhance data conditioning processes that translate raw data inputs into decision-quality data products appropriate to the intended audience and software.
  • Design, develop, test, and communicate data analytics products (including data, applications and visualizations) from documented, repeatable methods, based in sound data engineering principles and applicable standards.
  • Leverage wide-ranging data sources (e.g., web traffic, customer requests for information, ingested data, stated and implied requirements, production databases, human capital data, etc.) to develop and communicate understanding of phenomena and trends to support alternatives, models and assessments.
  • Provide insights through repeatable, transparent analysis that will be used to inform decisions and software nominations.
  • Assist in the construction of data sets and data views for use by the software development teams to utilize and communicate complex data sets meaningfully and appropriately.
  • Assist with implementation of statistical analysis process improvements and incorporation of statistical research into new analytical products and methods.
  • Generate and maintain reports, schematics and other documentation sufficient to maintain awareness of data ingest, conditioning and visualization processes and modify them as required.
  • Provide continuous feedback and recommendations to the Product Owner.
  • Prepare reports, briefings, documents and evaluation of results as required.
  • Participate in SAFe Agile processes and be a contributing member of the cross functional and development team.
  • Works independently with limited supervision.
  • May manage projects / processes.
Qualifications Required
  • Technical degree in Applied mathematics, physics, data science.
  • 2-4 years experience developing models and algorithms in support of operational software.
  • Minimum Clearance Required to Start: TS/SCI with Polygraph.
Desired
  • TS/SCI clearance with CI Poly.
  • Master’s degree in statistics, applied mathematics or physics.
  • 2-4 years of experience in model development.
  • Experience working with RF data, systems and software.
Pay Range

$69,100-$141,500

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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