Principal Data Scientist

Trinzic; Reston (VA); On-site; USD 172,000 - 212,000; Full time

Benefits offered by this job

401K plan with company match

Medical, dental, vision insurance

Paid time off

Job summary

KBR is seeking a Principal Data Scientist to advance data-driven decision support for government and space missions. You will design analytics, build dashboards, and deliver reproducible data workflows across diverse sources in a secure environment.

The role requires a Master’s in a quantitative field with extensive experience, TS clearance, and proficiency in Python and data libraries. On-site in Virginia with potential for limited travel and security collaboration.

Qualifications

• Master's degree in Data Science, OR related field, with 12 years of relevant experience.
• Top Secret clearance with ability to obtain SCI and SAP eligibility.
• Proficiency with Python and commonly used scientific libraries (Pandas, NumPy, SciPy, Scikit-learn, Plotly).
• Experience developing analytical applications, dashboards, visualizations, or decision-support tools, including web-based solutions.
• Experience developing, managing, and automating data collection, integration, transformation, and analysis workflows.
• Ability to communicate complex technical concepts to senior decision-makers.

Responsibilities

• Develop analytical prototypes, dashboards, and decision-support tools.
• Design, develop, and maintain data pipelines and workflows from multiple sources.
• Apply data science, statistical, and computational methods to analyze complex datasets.
• Collaborate with analysts, stakeholders, and software developers to translate mission needs into analytical solutions.
• Present findings, recommendations, and technical approaches to sponsors and stakeholders.

Skills

Top Secret clearance

Strong communication

Python

Education

Master's degree in Data Science or related field

PhD in a quantitative field (desired)

Tools

Pandas

NumPy

SciPy

Scikit-learn

Plotly

Job description

Principal Data Scientist

At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR 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 KBR'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 KBR'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

• 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 computational methods to analyze complex datasets, including modeling and simulation outputs.
• Collaborate with analysts, subject matter experts, stakeholders, and software developers to translate mission needs into analytical solutions.
• Build proof-of-concept capabilities that demonstrate operational value and support transition to software development and operational deployment.
• Develop visualizations, dashboards, and reporting products that communicate analytical results to technical and non-technical audiences.
• Evaluate and apply emerging technologies, including AI-enabled development tools, to improve analytical workflows and prototype development.
• Present findings, recommendations, and technical approaches to sponsors and stakeholders.
• Document methodologies, assumptions, and prototype capabilities to support knowledge transfer and repeatability.
• Contribute to the continuous improvement of MS&A processes, tools, and analytical practices.

Work Environment

• Location: On-site
• Travel Requirements: Minimal 0-20%
• Working Hours: Standard

Qualifications

• Master's degree in Data Science, Operations Research, Applied Mathematics, Statistics, Computer Science, or a related quantitative discipline with 12 years of relevant experience
• Demonstrated experience applying data science, statistical analysis, or quantitative methods to solve complex operational, technical, or business problems
• Proficiency with Python and commonly used scientific and data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Plotly, or comparable tools)
• Experience developing analytical applications, dashboards, visualizations, or decision-support tools, including web-based solutions deployed in modern computing environments
• Experience developing, managing, and automating data collection, integration, transformation, and analysis workflows
• Experience working with structured and unstructured data from multiple sources
• Experience analyzing data generated through modeling and simulation environments
• Ability to communicate complex technical concepts and analytical results to diverse audiences, including senior decision-makers
• Experience working collaboratively within multidisciplinary teams consisting of technical and non-technical personnel
• Strong written and verbal communication skills
• Current Top Secret clearance with ability to obtain and maintain Sensitive Compartmented Information (SCI) and Special Access Program (SAP) eligibility

Desired

• Ph.D. in Data Science, Operations Research, Applied Mathematics, Statistics, Computer Science, or a related quantitative discipline
• Experience supporting Department of Defense, Combatant Command, Service, Joint, Intelligence Community, or other National Security organizations
• Familiarity with AFSIM, NGTS, STORM, EADSIM, mission engineering frameworks, or comparable MS&A tools and methodologies
• Experience developing rapid prototypes, proof-of-concept applications, or analytical demonstrations that transitioned into production environments and software implementations
• Experience developing standalone analytical applications, dashboards, or decision-support tools and transitioning analytical prototypes into operational capabilities through user engagement and collaboration with software development teams
• Experience developing standalone analytical applications, dashboards, or decision-support tools that integrate data processing, visualization, and user interaction capabilities
• Experience deploying and maintaining analytical applications within containerized environments using technologies such as Docker, Rancher, Kubernetes, or similar platforms
• Familiarity with software development practices, version control systems, DevSecOps concepts, and Agile development methodologies
• Experience applying machine learning, artificial intelligence, or advanced statistical techniques to analytical and decision-support problems
• Experience mentoring, guiding, or providing technical support to less-experienced team members
• Demonstrated ability to assume increasing technical responsibility and contribute to the growth of analytical capabilities and organizational expertise

Scheduled Weekly Hours

40hrs

Basic Compensation

The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity.

Compensation range for Virginia is $172,000 to $212,000.

Additional Compensation

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance.

KBR Benefits

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.

KBR is an equal opportunity employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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