Sr Operations Research Analyst

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 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. 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. 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. Technical Support: The successful candidate will have extensive technical expertise in methods from operations research and experience working on Department of Defense problems. Independent Work: Successful candidates must be self-motivated and capable of working independently with little supervision / direct tasking. Work Environment Location: Onsite Travel Requirements: This position will require travel of 25% with potential surge to 50% to support end users located at various DoD ranges & labs located across the US. Working Hours: Standard Basic Qualifications Security Clearance: Active TS/SCI clearance Education: An advanced degree in operations research, engineering, applied math, statistics, computer science or information technology with preferred 12+ years of experience within DoD. DOD Specific Experience: Candidates with 5-10 years of DoD experience will be considered on a case-by-case basis. Experience: Previous experience should include working with end users, gathering requirements and refining/operating data analysis tools or products to meet user needs. Qualifications Required Experience using scripting languages (Python and R) to process, analyze and visualize data. Experience using notebooks (Jupyter Notebooks and RMarkdown) to create reproducible and explainable products. Experience using interactive visualization tools (RShiny, pyShiny, Dash) to create interactive analytics. Experience generating and presenting reports, visualizations and findings to customers. Experience using analysis methods, including supervised and unsupervised methods, to work with time series and geospatial data. Experience working with Windows, Linux, and containers. Experience querying databases using SQL. Ability to make insightful recommendations based on data driven analysis and customer interactions. Ability to effectively communicate both orally and in writing with customers and teammates. Ability to speak and present findings in front of large groups. Ability to document and repeat procedures. Ability to train novice end users on the use of tools. Basic Compensation : $170,100-$255,200 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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