KBR, Inc

Data Scientist

KBR, Inc$150K — $181K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, or related quantitative field.
  • 6+ years of experience in data science or advanced analytics.
  • Experience in evaluating and validating statistical models or machine learning algorithms.
  • Proficient in Python, R, or similar programming languages with data science libraries.
  • Active Top Secret clearance with TS/SCI access.

Responsibilities

  • Review and enhance statistical models and machine learning algorithms for missions.
  • Evaluate algorithm performance and effectiveness against customer objectives.
  • Analyze complex, multi-source datasets to identify trends and improvement areas.
  • Conduct validation to ensure reliable analytic outcomes.
  • Assess data quality and management practices influencing algorithm results.
  • Develop assessments and briefing materials for government decision-making.
  • Support integration of new data sources and analytic techniques into mission systems.

Benefits

  • Opportunities for bonuses or commissions based on internal policy.
  • Potential sign-on bonuses or relocation benefits.
  • Performance-related incentives in the form of long-term or short-term bonuses.
Full Job Description
Title:
Data Scientist

The Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics capabilities used across intelligence operations. This role focuses on reviewing existing statistical models, machine learning algorithms, and analytic methodologies to ensure they meet mission requirements, performance objectives, and operational needs. The position analyzes complex structured and unstructured datasets to assess algorithm effectiveness, identify optimization opportunities, and recommend enhancements to government stakeholders. The Data Scientist works closely with government personnel, developers, engineers, and analysts to support model validation, performance evaluation, and analytic modernization efforts. This role operates within a classified environment and contributes to the advancement of data-driven intelligence capabilities supporting national security objectives.

Roles and Responsibilities
  • Review, assess, and provide recommendations for improving existing statistical models, machine learning algorithms, and analytic workflows supporting Space and Counterspace missions.
  • Evaluate algorithm performance, accuracy, scalability, and operational effectiveness against mission requirements and customer objectives.
  • Analyze large, complex datasets from multiple intelligence and operational sources to identify trends, anomalies, and opportunities for analytic enhancement.
  • Conduct validation and verification activities to ensure analytic models and algorithms produce reliable and reproducible results.
  • Assess data quality, source integrity, and data management practices that impact algorithm performance and analytic outcomes.
  • Develop technical assessments, recommendations, and briefing materials to support government decision-making and capability improvements.
  • Support the integration and evaluation of new data sources, analytic techniques, and modeling approaches within existing mission systems.
  • Collaborate with government stakeholders, engineers, and data science teams to prioritize improvements and implement approved changes.
  • Document methodologies, evaluation criteria, findings, and recommendations to support governance, oversight, and mission continuity.
  • Ensure compliance with security, data governance, and classified environment requirements throughout all analytical activities.


Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.
  • 6+ years of experience in data science, advanced analytics, machine learning, algorithm evaluation, or a related technical discipline.
  • Experience evaluating, validating, testing, or improving statistical models, machine learning algorithms, or analytic methodologies.
  • Proficiency in Python, R, or similar data science programming languages and experience using associated analytical libraries and frameworks.
  • Active Top Secret clearance with Sensitive Compartmented Information (TS/SCI) access and Current Polygraph.


Preferred Qualifications
  • Experience supporting Department of Defense (DoD), Intelligence Community (IC), Space Domain Awareness (SDA), or national security missions.
  • Experience with machine learning frameworks and model evaluation tools.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Intelligence Studies, or a related field.


Basic Compensation:

$$150,000 - $181,000

This range is for the Virginia 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 a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance

About KBR, Inc

KBR, Inc is an American engineering, procurement, and construction company headquartered in Houston, Texas. The company provides services to customers in the energy, chemical, and government sectors, among others. KBR has a global presence, with operations in over 40 countries. The company was founded in 1901 as M.W. Kellogg Company and has undergone several name changes and mergers since then. KBR is committed to delivering innovative and sustainable solutions to its customers while also being a responsible corporate citizen.
Learn more about KBR, Inc
Size
28,000 employees
Market Cap
$7.1 billion
Industry
Net Income
-$72 million
Founded
1919
5 Year Trend
+11.5%
Revenue
$5.7 billion
NASDAQ

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