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KBR Wyle Services, LLC
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KBR Wyle Services, LLC

Data AI Scientist - Associate Level

San Antonio, TX, United States

Scheduled Weekly Hours: 40 Basic Compensation: $107-140k The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

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Job details

Pay: Scheduled Weekly Hours: 40 Basic Compensation: $107-140k The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.
Experience: 5+ years of relevant experience
Posting language: English
Posted: Nov 9, 2026

Original job description

Title:

Data AI Scientist - Associate Level 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.

Job Description

Applies knowledge of military personnel, manpower, force management, or related military human-capital processes to analyze personnel data and translate operational requirements into effective analytical solutions.
Cleans, aggregates, integrates, and analyzes data within the Palantir / Envision / Warpcore environment, using Python and/or R and SQL to query, transform, validate, and analyze data from multiple sources.
Develops effective Power BI dashboards and data visualizations that transform complex data and analytical results into clear, actionable information for analysts and senior leaders.
Develops predictive and machine-learning solutions from problem definition through implementation; interprets influential factors and clearly communicates model results, limitations, and operational implications.
Designs and implements repeatable and automated data collection, ingestion, cleaning, transformation, and validation processes.
Identifies, evaluates, and implements opportunities to apply artificial intelligence, machine learning, and automation to repetitive and time-intensive administrative and analytical processes.
Provides technically sound analytical conclusions, interpretations, and recommendations, translating complex quantitative analysis into understandable and actionable information for technical and non-technical decision-makers.
As part of a team develops and executes research and analytical objectives, selects appropriate statistical, mathematical, modeling, simulation, and analytical methodologies, and provides a quantitative and defensible basis for addressing complex military personnel, organizational, and operational problems.

Minimum Qualifications:

Bachelor's degree in an Analysis - Data Science - AI related field
5+ years of relevant experience
Ability to obtain a Secret Clearance
Experience manipulating data from Excel spreadsheets
Ability and motivation to self-teach analysis skills aligned with analysis best practices
Expected to deliver in a fast-paced, team-oriented work environment
Ability combine and analyze disparate data for presentation to senior level decision makers

Desired Qualifications:

Experience with the USSF, USSPACECOM
Experience developing display metrics generated from automated data sources
Experience with a cloud computing system such as ADVANA, ENVISION or PALANTIR
Experience with leveraging AI tools to facilitate rapid prototyping and development of tools/programs
Experience programming with Python, R, and SQL

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 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. Ready to Make a Difference? If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.

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 of 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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Skills

people@work
Python
R
SQL
Microsoft Power BI
Machine learning
Cleaning
Research
Microsoft Excel
Cloud computing

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