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Senior Data Science & Analytics Specialist
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Software Engineer 3 - Linux/Bash/Python/Apache Airflow/SQL/Jupyter Notebook/NumPy/JSON
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KBR

Senior Data Science & Analytics Specialist

Beavercreek Township, OH, United States

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Job details

Experience: Minimum 3 years of experience in data analytics, data science, artificial intelligence, machine learning, or related disciplines.
Posting language: English
Posted: Nov 4, 2026

Original job description

Title:

Senior Data Science & Analytics Specialist 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.

Position Summary We are seeking an experienced a Data Science & Analytics Specialist will support advanced analytical initiatives by translating highly complex data science capabilities into actionable insights and recommendations for non-technical stakeholders. The position focuses on leveraging Intelligent Automation (IA), Artificial Intelligence (AI), and Machine Learning (ML) solutions to improve decision-making, streamline workflows, and accelerate analytical priorities across the organization, the Department of Defense (DoD), and the Intelligence Community (IC). The successful candidate will serve as a bridge between technical teams and mission stakeholders, ensuring advanced analytics capabilities are effectively integrated into operational workflows and strategic decision-making processes.

Key Responsibilities

Data Science Translation & Stakeholder Engagement

Translate highly complex data science concepts, methodologies, and analytical outputs into clear, actionable insights for senior leaders and non-technical stakeholders.
Develop executive-level briefings, decision-support products, and workflow recommendations based on advanced analytics findings.
Communicate technical risks, opportunities, and implementation considerations in business-focused language.

IA/AI/ML Strategy Development

Support the development of Intelligent Automation (IA), Artificial Intelligence (AI), and Machine Learning (ML) strategies and initiatives.
Identify opportunities to apply advanced analytics, automation, and machine learning techniques to enhance mission effectiveness and operational efficiency.
Recommend scalable IA/AI/ML solutions that address complex analytical challenges.

Workflow Optimization & Implementation

Analyze complex datasets from multiple sources across the Center, DoD, and Intelligence Community.
Develop and implement data-driven workflow strategies that accelerate analytical priorities and improve operational outcomes.
Collaborate with stakeholders to evaluate current processes and integrate advanced analytical capabilities into mission workflows.
Assess performance metrics and continuously refine recommendations based on operational feedback and results.

Reporting & Documentation

Prepare and deliver a Monthly Data Science & Analytics Progress Report that:
Documents progress against assigned objectives.
Summarizes data science and analytics activities completed during the reporting period.
Identifies opportunities for IA/AI/ML workflow improvements.
Provides actionable recommendations for stakeholders.
Highlights risks, dependencies, challenges, and mitigation strategies.
Tracks implementation status and performance outcomes.

Collaboration & Advisory Support

Partner with technical and operational teams across the Center, DoD, and IC.
Provide subject matter expertise on data science, analytics, machine learning, and automation technologies.
Support leadership in prioritizing analytical initiatives and technology investments.

Qualifications

Required:

Bachelor's/ Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or related field.
Minimum 3 years of experience in data analytics, data science, artificial intelligence, machine learning, or related disciplines.
Demonstrated experience translating technical analytical concepts into business or mission-focused recommendations.
Experience working with large, complex, and diverse datasets.
Proficiency with data analytics and visualization tools (e.g., Python, R, SQL, Tableau, Power BI).
Knowledge of machine learning techniques, predictive analytics, and automation technologies.
Strong written and verbal communication skills, including executive-level briefing experience.
Ability to work effectively with both technical and non-technical stakeholders.
U.S. Citizenship required.
Active TS/SCI.

Highly Desired:

Master's degree in Data Science, Analytics, Computer Science, Engineering, or related discipline.
Experience supporting Department of Defense (DoD), Intelligence Community (IC), or federal government organizations.
Familiarity with cloud-based analytics platforms and MLOps frameworks.
Experience implementing AI/ML solutions in operational environments.
Professional certifications related to AI, Machine Learning, Data Analytics, or Cloud Technologies.

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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More about this job

Skills

people@work
Google Analytics
Artificial intelligence
Machine learning
ML
Decision making
Translation
Stakeholder management
Workflow
Negotiate with stakeholders
Reporting
Documentation
Collaboration
Automation technology
Leadership
Prioritization
Computer science
Statistics
Research
Data analysis
Python
R
SQL
Tableau
Microsoft Power BI
Communication skills
Cloud technologies

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