Senior Operations Research/Data Science

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 analysis results; adapting internally-developed tools, notebooks and reports to meet emerging needs; gathering use cases, requirements, gaps and needs from stakeholders and for larger development items providing that information as feature requests or bug reports to the CHEETAS development team; and performing impromptu hands-on training sessions with end users and potentially troubleshooting problems from within closed networks without internet access (with support from distributed team members).Independent Work: Successful candidates must be self-motivated and capable of working independently with little supervision / direct tasking. The candidate should have experience using a variety of methods and models to test the effectiveness of different courses of action.

Location: Remote

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. When not supporting a site, this position can work remotely or from a nearby KBR office (if available and desired).

Working Hours: Standard, although you potentially may be the only team member physically on-site providing support, you will not be alone.

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. Previous experience should include developing and interpreting the results of analytic products with DoD specific data types.

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. Should be self-motivated to design, develop, enhance, reengineer or integrate software applications to improve the quality of data outputs available for end users.