Data Scientist

KBR Careers; Chantilly (VA); On-site; USD 161,000 - 222,000; Full time

Benefits offered by this job

401K plan

Medical insurance

Dental insurance

Vision insurance

Paid time off

Flexible work schedule

Job summary

KBR’s National Security Solutions team seeks a Data Scientist to support the Intelligence Community GED and related offices. You will design, develop, test, and deliver data‑driven products across hardware, software, and data analysis teams, enabling mission success.

Expected to lead analytical efforts, apply ML methods, and deploy production‑ready models while collaborating with multi‑disciplinary teams in DoD and IC contexts.

Qualifications

• Active TS/SCI with Polygraph.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum of 10 years of experience in data science or related roles.
• Expert‑level proficiency in Python or R.
• Strong experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
• Deep understanding of statistical modeling, experimental design, and advanced analytics.
• Proficiency in SQL and working with large‑scale datasets.
• Experience building and deploying production‑ready models.
• Strong software engineering practices (version control, testing, modular coding).
• Excellent communication and storytelling skills with data.

Responsibilities

• Conducts scientific Research and Development towards the tasking, collection, processing, and dissemination of data.
• Collects substantial amounts of data using analytical, statistical, and programmable skills.
• Analyze data sets to discover actionable patterns and trends for business use.
• Uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data.
• Applies mathematical, problem‑solving, and coding skills to manage big data, extracting valuable insights.
• Assess other’s R&D proposals for feasibility and progress towards mission goals.
• Solve difficult, non-routine problems by applying advanced analytical methodologies and improving analytic methodologies.
• Developing custom searches.
• Communicating and coordinating with internal and external partners as needed.
• Other duties as assigned.

Skills

Python

R

SQL

Machine learning

Statistics

Education

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Job description

Belong. Connect. Grow. with KBR!

Title

Data Scientist

KBR’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: KBR’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.

Who You Are

KBR is looking for a motivated Data Scientist to join our team and provide Systems Engineer Technical Advisor (SETA) support for the Intelligence Community Customer Ground Enterprise Directorate (GED). GED plays a critical role in enabling the Intelligence Community Customer to plan and execute intelligence‑gathering missions, transforming collected data into useful information for the Intelligence Community (IC) and Department of Defense (DoD) users.

In this role, you will have the chance to design, develop, test, and deliver products that support our customers’ advanced systems. In support of GED Front Office, Chief Architect, Integrated Intelligence Program Office, Advanced Ground Office, and Enterprise Data Applications and Platforms. You’ll collaborate with multi‑disciplinary teams focused on hardware, software, system integration, and data analysis to help achieve important missions and meet requirements.

This position is contingent upon contract award.

Primary Responsibilities

• Conducts scientific Research and Development towards the tasking, collection, processing, and dissemination of data.
• Collects substantial amounts of data using analytical, statistical, and programmable skills.
• Analyze data sets to discover actionable patterns and trends for business use.
• Uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data.
• Applies mathematical, problem‑solving, and coding skills to manage big data, extracting valuable insights.
• Assess other’s R&D proposals for feasibility and progress towards mission goals.
• Solve difficult, non-routine problems by applying advanced analytical methodologies and improving analytic methodologies.
• Developing custom searches.
• Communicating and coordinating with internal and external partners as needed.
• Other duties as assigned.

Required Qualifications

• Active TS/SCI with Polygraph.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum of 10 years of experience in data science or related roles.
• Expert‑level proficiency in Python or R.
• Strong experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
• Deep understanding of statistical modeling, experimental design, and advanced analytics.
• Proficiency in SQL and working with large‑scale datasets.
• Experience building and deploying production‑ready models.
• Strong software engineering practices (version control, testing, modular coding).
• Excellent communication and storytelling skills with data.

Desired Qualifications

• Experience with big data technologies (Spark, Hadoop).
• Experience working with cloud platforms (AWS, Azure, or Google Cloud).
• Knowledge of MLOps tools and practices (CI/CD, model monitoring, containerization).
• Experience with deep learning, NLP, recommender systems, or time‑series forecasting.

Ready to Make a Difference?

Basic Compensation

$161,200 –221,600 annum (This range is for the VA area only)

The rate offered will be based on the selected candidate’s work location, knowledge, skills, abilities and/or experience, contract affordability and consideration of internal parity.

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.

R2128453