Senior Operations Research Analyst

KBR•Sierra Vista, FL

1d•Remote

About The Position

KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to 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. 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. The candidate will support 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. The 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 data-driven analysis. 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. 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). 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.

Requirements

Active TS/SCI clearance
An advanced degree in operations research, engineering, applied math, statistics, computer science or information technology
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.
Self-motivated to design, develop, enhance, reengineer or integrate software applications to improve the quality of data outputs available for end users.
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.

Nice To Haves

12+ years of DOD experience
Experience as a military ORSA.
Experience working in government / defense labs and within their computing restrictions.
Knowledge of military force structure and/or tactical messaging.
Experience working with major DoD experimentation events, such as Joint All-Domain Command and Control (JADC2) events.
Experience working with major DoD acquisition programs, such as Joint Strike Fighter (JSF).
Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.
Knowledge of DoD cybersecurity policies.

Responsibilities

Support customers with insights gained from analyzing DoD Test & Evaluation data.
Enable 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.
Discover insights hidden in large data sets and work with stakeholders to improve business outcomes through the delivery of high-quality products.
Use a variety of data mining and data analysis methods, access data stored in a variety of data storage paradigms, develop models using common statistical and machine learning modeling approaches, use and create custom algorithms, implement analysis workflows in Python or R, and write reports and documentation.
Provide analytic consulting services, support analytic workflow and product development and testing, promote the user adoption of methods and best practices from data science, conduct applied methods projects, and support the creation of analysis-ready data.
Identify opportunities for process or workflow optimization.
Be the face of the CHEETAS Team and ensure stakeholders have the analytical tools, data products and reports they need to make insightful recommendations based on data-driven analysis.
Collaborate 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.
Drive decisions through successful communication, in written or presented form, of data-based insights.
Effectively communicate at both a programmatic and technical level.
Run and operate CHEETAS (and other tools).
Demonstrate tools to stakeholders & VIPs.
Convey analysis results.
Adapt internally-developed tools, notebooks and reports to meet emerging needs.
Gather 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.
Perform impromptu hands-on training sessions with end users.
Troubleshoot problems from within closed networks without internet access (with support from distributed team members).
Work independently with little supervision / direct tasking.
Use a variety of methods and models to test the effectiveness of different courses of action.