Data Scientist
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.
- 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
- Location: Onsite or Remote
- Travel Requirements: Minimal
- Working Hours: Standard
- Bachelor's degree in Data Science or related field
- 5+ 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.
- Ability to obtain a DoD Secret clearance
- Master's degree in Data Science or related field
- 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
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