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Data Scientist

Job in Alexandria, Fairfax County, Virginia, 22350, USA
Listing for: CALIBRE Systems, Inc.
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below

CALIBRE Systems, Inc, an Employee-Owned mission focused solutions and digital transformation company, is seeking an experienced Data Scientist to work with a data team driving advanced analytics initiatives used in the Army cost analysis and budgeting processes. This Data Scientist will assist with overseeing the development, implementation, and execution of project data plans, ensure scope and schedule are established for projects and assignments, and assist with the operating plan and resource allocation for the group, including prioritization and development deployments.

This is a hands-on technical role where you will be responsible for delivering end-to-end analytics, from understanding the business challenges to presenting insights to wide-ranging business and technical audiences. Candidate will need to have experience with Army ERP systems and participate in data collection, modeling, analysis and product generation. Organize and translate data into useful automated information. Conduct analyses including defining parameters of requested data output and analysis.

Assist in preparation of reports, briefings, and documentation deliverables.

The ideal candidate should be able to learn and provide input on how to create new sources of data-driven innovation through technology and analytics that would add value to our customers. They will explore new ways to analyze data using statistical methods, machine learning and predictive models. They will have experience of working with large data and data lakes and assist with identification and traceability of data and mapping.

As a CALIBRE Data Scientist, you will have the opportunity to research and experiment with innovative new techniques in data visualization, machine learning, statistics, and operations research in a cloud environment. The ideal candidate must be passionate about helping others solve problems, gain insights, and make decisions using data. They will display deep technical knowledge and be able to communicate it to a wide-ranging audience.

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