Data Scientist

KBR Careers

McLean (VA)

On-site

USD 177,000 - 217,000

Full time

24 hours ago
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Job summary

KBR in the Virginia area is seeking a Data Scientist to join the National Security Solutions team. This role focuses on designing, developing, and maintaining analytic solutions using HPCC Systems (ECL) to process large datasets and deliver mission-critical insights for national security programs.

The candidate will leverage Python, R, Pig, Java, C, and SQL in distributed computing environments and must have 10+ years of relevant experience, including ECL usage.

Qualifications

  • Active TS/SCI with a Polygraph is required.
  • Minimum 10 years of experience in data analytics.
  • Minimum three years of experience using ECL within HPCC Systems.
  • Demonstrated experience with data modeling and large-scale data analytics.
  • Experience using Python, R, Pig, Java, C, or SQL for large-scale data processing.
  • Experience developing, validating, and applying analytic methodologies in clustered computing environments.
  • Experience working with distributed computing and high-volume datasets.

Responsibilities

  • Design, develop, and maintain analytic solutions using ECL and HPCC Systems to process and analyze large-scale datasets.
  • Develop, validate, and apply methodologies for complex analytic requirements in clustered computing environments.
  • Create and maintain data models supporting enterprise and mission analytics.
  • Use Python, R, Pig, Java, C, and SQL for large-scale parallel processing and data analysis.
  • Design and optimize scalable data ingestion, transformation, and enrichment workflows across distributed platforms.
  • Collaborate with engineers, analysts, and stakeholders to translate requirements into technical solutions.
  • Validate data quality, analytical methods, and results for reliability.

Skills

TS/SCI clearance
Data analytics
Large-scale processing
Distributed computing
Python
R
Java
C
SQL
ECL
HPCC

Education

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

Tools

HPCC Systems (ECL)

Job description

Belong. Connect. Grow. with KBR!

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.
Key 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.
Work Environment
  • Location: On-site
  • Travel Requirements: Minimal
  • Working Hours: Standard
Qualifications
  • 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.
Desired
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field.
Basic Compensation

$177,200 to $216,500

This range is for the VA area only

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in 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 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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