Senior Operations Research/Data Science

KBR, Inc.•Niceville, FL

5d•$190,000 - $220,000•Remote

About The Position

The National Security Solutions team at KBR provides advanced engineering and technology solutions to customers in the intelligence and national security communities. This role offers the opportunity to work on impactful projects that protect national security, focusing on designing and optimizing defense systems. The position is part of the ITEA award-winning TRMC BDKM team, responsible for revolutionizing data analysis across the Department of Defense.

Requirements

Active TS/SCI clearance
An advanced degree in operations research, engineering, applied math, statistics, computer science or information technology
Preferred 12+ years of experience within DoD
Candidates with 5-10 years of DoD experience will be considered on a case-by-case basis.
Previous experience working with end users, gathering requirements and refining/operating data analysis tools or products to meet user needs.
Previous experience developing and interpreting the results of analytic products with DoD specific data types.
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.

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 application of data science, machine learning, and operations research methods.
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.
Utilize a variety of data mining and data analysis methods, accessing data from various storage paradigms.
Develop models using common statistical and machine learning approaches, using and creating custom algorithms.
Implement analysis workflows in Python or R, and write reports and documentation.
Provide analytic consulting services, supporting analytic workflow and product development and testing.
Promote 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.
Serve as the primary point of contact for the CHEETAS Team, ensuring stakeholders have the analytical tools, data products, and reports they need.
Collaborate with technical and non-technical stakeholders to identify analytic requirements and analysis questions.
Communicate data-based insights effectively in written and presented forms, at both programmatic and technical levels.
Provide extensive technical expertise in operations research methods and experience with Department of Defense problems.
Run and operate CHEETAS and other tools.
Demonstrate tools to stakeholders and 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 provide them to the CHEETAS development team.
Perform impromptu hands-on training sessions with end users.
Troubleshoot problems within closed networks without internet access, with support from distributed team members.
Work independently with little supervision or direct tasking.
Use a variety of methods and models to test the effectiveness of different courses of action.