Data Scientist

KBR, Inc.•McLean, VA

10d•$177,200 - $216,500•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field.

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.