Senior Operations Research/Data Science

Title: Senior Operations Research/Data Science 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. Come join the ITEA award winning TRMC BDKM team and be a part of the team responsible for revolutionizing how data analysis is performed across the entire Department of Defense Key Responsibilities: The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on BD and KM systems supporting DoD Test Ranges and various acquisition programs. Data Driven Analysis: Candidate will support our customers with insights gained from analyzing DoD Test & Evaluation data. Responsible for enabling the development of data-driven decision analysis products through the innovative application, and promotion, of novel methods from data science, machine learning, and operations research to provide robust and flexible testing and evaluation capabilities to support DoD modernization. Candidates should have a passion for discovering insights hidden in large data sets and working with stakeholders to improve business outcomes through the delivery of high-quality products. Data Mining: Must have strong experience using a variety of data mining and data analysis methods, accessing data stored in a variety of data storage paradigms, developing models using common statistical and machine learning modeling approaches, using and creating custom algorithms, implementing analysis workflows in Python or R, and writing reports and documentation. Analytic Experience: Responsible for providing analytic consulting services, supporting analytic workflow and product development and testing, promoting the user adoption of methods and best practices from data science, conducting applied methods projects, and supporting the creation of analysis-ready data.  The candidate should be skilled at identifying opportunities for process or workflow optimization. Customer-Facing Experience: Candidate will be the face of the CHEETAS Team and will be responsible for ensuring stakeholders have the analytical tools, data products and reports they need to make insightful recommendations based on your data driven analysis.  Stakeholder Assistance: The ideal candidate is adept at collaborating with technical and non-technical stakeholders to identify analytic requirements and analysis questions that can be informed through the aggregation and analysis of large data sets collected during test events or exercises. Communication: Proven ability to drive decisions through successful communication, in written or presented form, of their data-based insights. Must have the ability to effectively communicate at both a programmatic and technical level.  Technical Support: The successful candidate will have extensive technical expertise in methods from operations research and experience working on Department of Defense problems. The candidate will have reach-back support from the software engineering, data science and system administration teams.  While onsite, candidate will be responsible for running and operating CHEETAS ( and other tools ); demonstrating these tools to stakeholders & VIPs; conveying