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Principal Data Scientist

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Trinzic
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 172000 - 212000 USD Yearly USD 172000.00 212000.00 YEAR
Job Description & How to Apply Below
Title Principal 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. 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.

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.

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.

Key Responsibilities

K  is seeking a Principal Data Scientist to join a dynamic, high-performing, multi-disciplinary team consisting of operational military and intelligence subject matter experts (SMEs), operations research analysts, modelers, and software engineers who conduct modeling, simulation, and analysis (MS&A) of emerging concepts using advanced MS&A techniques and tools. The selected candidate will:

  • Develop analytical prototypes, dashboards, and decision-support tools supporting modeling, simulation, experimentation, and assessment activities.
  • Design, develop, and maintain data pipelines and workflows that integrate, transform, and analyze data from multiple sources.
  • Apply data science, statistical, and…
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