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Data Scientist

Job in McLean, Fairfax County, Virginia, USA
Listing for: Trinzic
Full Time position
Listed on 2026-10-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 177000 - 217000 USD Yearly USD 177000.00 217000.00 YEAR
Job Description & How to Apply Below

Title: Data Scientist

At K , we deliver science, technology and engineering solutions to governments and companies around the world. K  employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. K  is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.

Trinzic is the future independent company to be created through the planned spin-off of K 's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions.

Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.

Candidates who join K 's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.

Belong. Connect. Grow. with K !

K ’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

Why Join Us?
  • Innovative Projects: K ’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
  • Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
  • Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
Key Responsibilities
  • Design, develop, and maintain analytic solutions using ECL and HPCC Systems to process and analyze large-scale datasets.
  • Develop, validate, and apply methodologies that support complex analytic requirements within clustered computing environments.
  • Create and maintain data models that support enterprise and mission-focused analytics.
  • Use programming languages such as Python, R, Pig, Java, C, and SQL to perform large-scale parallel processing and data analysis.
  • Design and optimize scalable data ingestion, transformation, and enrichment workflows across distributed computing platforms.
  • Collaborate with engineers, analysts, and mission stakeholders to translate analytical requirements into technical solutions.
  • Validate data quality, analytical methods, and outputs to ensure accurate and reliable results.
Work Environment
  • Location: On-site
  • Travel Requirements: Minimal
  • Working Hours: Standard
Qualifications

Required:

  • Active TS/SCI with a Polygraph
  • Minimum of 10 years experience
  • Minimum three (3) years of experience using ECL within the HPCC Systems environment.
  • Demonstrated experience with data modeling and large-scale data analytics.
  • Experience using Python, R, Pig, Java, C, or SQL to perform large-scale parallel processing of data.
  • Experience developing, validating, and applying methodologies to support analytic requirements in clustered computing environments.
  • Experience working with distributed computing, high-volume datasets, and scalable data processing architectures.

Desired:

  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering,…
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