KBR
Title:
Data Scientist
Belong. Connect. Grow. with KBR!
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.
Position Summary:
KBR is seeking a Data Scientist to join our team in Dayton, OH. This position can be onsite or remote. KBR solves the toughest problems for our clients by extracting insight from data, delivering greater decision confidence, and improving processes. Our analysts are involved in a wide range of activities that range from understanding and transforming data, applying state of the art analytic techniques, and driving business impact through insight visualization. Our analysts are leveraged across of range of projects, such as artificial intelligence, advanced analytics, business process improvement, and application development. KBR analysts collaborate with Operations Research Analysts, Software Development Professionals, Data Architects, and Subject Matter Experts.
Key Responsibilities:
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Research and apply state-of-the-art artificial intelligence methods and innovative statistical models
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Process, cleanse, and verify the integrity of data used for analysis
Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques
Clearly document and present methodology, assumptions, and findings to stakeholders
Working with a wide range of stakeholders and functional teams to improve business outcomes
Deliver in a fast-paced, team-oriented work environment
Adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization
Articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
Hands on experience performing analysis to solve problems
Discovering insights hidden in large data sets
Using a variety of advanced analysis methods, data tools, and models
Using/creating algorithms and/or creating/running simulations
Testing the effectiveness of different courses of action
Work Environment:
Location: Onsite or Remote
Travel Requirements: Minimal
Working Hours: Standard
Qualifications:
Required:
Bachelor's degree in Data Science or related field
2+ yrs experience in Data Science or Data analysis
Proficiency in programming languages like Python or R
Experience with AI frameworks like TensorFlow or PyTorch
Familiarity with Retrieval Augmented Generation (RAG) architectures and Large Language Models (LLM)
Developing data pipelines to support Analytics
Applying advanced analytics and machine learning techniques
Documenting and communicating results of analysis
Familiarity with SQL and BI Tools (Tableau, Qlik etc.)
Strong analytical and problem-solving skills
Hands on experience with driving analytic insights and workflow automation.
Must have the ability and motivation to self-teach in order to stay current with leading best practices in analytics.
Candidates must be able to tackle difficult problems, specifically working with artificial intelligence.
Expected to have data wrangling skills.
Desired:
Solid understanding of applied machine learning methods and algorithms
Exploratory Data Analysis and Workflow Improvement
Applied statistics skills, such as distributions, statistical testing, regression, etc.
Data-oriented personality with proficiency in using data query languages such as SQL and ability to understand various data structures and common methods in data transformation
Ability to use data visualization to communicate value of insights
Designing and developing AI agents, implementing agentic workflows
Agentic AI frameworks such as LangGraph and standards such as Model Context Protocol (MCP)
Text mining and Natural Language Processing techniques such as Named Entity Recognition and Text Classification
Graph Analysis tools such as Neo4J and Cypher
Databricks, Azure AI Foundry, Amazon Bedrock, Amazon SageMaker
Process Automation, Image Analysis, Predictive and Prescriptive analysis
Ready to Make a Difference?
If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.
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 KBRAt 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.
Data Scientist
Belong. Connect. Grow. with KBR!
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.
Position Summary:
KBR is seeking a Data Scientist to join our team in Dayton, OH. This position can be onsite or remote. KBR solves the toughest problems for our clients by extracting insight from data, delivering greater decision confidence, and improving processes. Our analysts are involved in a wide range of activities that range from understanding and transforming data, applying state of the art analytic techniques, and driving business impact through insight visualization. Our analysts are leveraged across of range of projects, such as artificial intelligence, advanced analytics, business process improvement, and application development. KBR analysts collaborate with Operations Research Analysts, Software Development Professionals, Data Architects, and Subject Matter Experts.
Key Responsibilities:
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Research and apply state-of-the-art artificial intelligence methods and innovative statistical models
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Process, cleanse, and verify the integrity of data used for analysis
Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques
Clearly document and present methodology, assumptions, and findings to stakeholders
Working with a wide range of stakeholders and functional teams to improve business outcomes
Deliver in a fast-paced, team-oriented work environment
Adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization
Articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
Hands on experience performing analysis to solve problems
Discovering insights hidden in large data sets
Using a variety of advanced analysis methods, data tools, and models
Using/creating algorithms and/or creating/running simulations
Testing the effectiveness of different courses of action
Work Environment:
Location: Onsite or Remote
Travel Requirements: Minimal
Working Hours: Standard
Qualifications:
Required:
Bachelor's degree in Data Science or related field
2+ yrs experience in Data Science or Data analysis
Proficiency in programming languages like Python or R
Experience with AI frameworks like TensorFlow or PyTorch
Familiarity with Retrieval Augmented Generation (RAG) architectures and Large Language Models (LLM)
Developing data pipelines to support Analytics
Applying advanced analytics and machine learning techniques
Documenting and communicating results of analysis
Familiarity with SQL and BI Tools (Tableau, Qlik etc.)
Strong analytical and problem-solving skills
Hands on experience with driving analytic insights and workflow automation.
Must have the ability and motivation to self-teach in order to stay current with leading best practices in analytics.
Candidates must be able to tackle difficult problems, specifically working with artificial intelligence.
Expected to have data wrangling skills.
Desired:
Solid understanding of applied machine learning methods and algorithms
Exploratory Data Analysis and Workflow Improvement
Applied statistics skills, such as distributions, statistical testing, regression, etc.
Data-oriented personality with proficiency in using data query languages such as SQL and ability to understand various data structures and common methods in data transformation
Ability to use data visualization to communicate value of insights
Designing and developing AI agents, implementing agentic workflows
Agentic AI frameworks such as LangGraph and standards such as Model Context Protocol (MCP)
Text mining and Natural Language Processing techniques such as Named Entity Recognition and Text Classification
Graph Analysis tools such as Neo4J and Cypher
Databricks, Azure AI Foundry, Amazon Bedrock, Amazon SageMaker
Process Automation, Image Analysis, Predictive and Prescriptive analysis
Ready to Make a Difference?
If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.
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 KBRAt 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.