Senior Data Scientist

Title:

Senior Data Scientist

Belong. Connect. Grow. with KBR!

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 successful candidate will support our customers with insights gained from analyzing DoD Test & Evaluation data. 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 candidate should be skilled at identifying opportunities for process or workflow optimization. The candidate should have experience using a variety of methods and models to test the effectiveness of different courses of action. They 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. They must have a proven ability to drive decisions through successful communication, in written or presented form, of their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. 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 successful candidate will have extensive technical expertise in data science, academic or industry experience, and have excellent communication skills.

Why Join Us?

• Innovative Projects: Work on cutting-edge technologies and projects that directly support our national security objectives.
• Collaborative Environment: Join a dynamic team where collaboration and innovation are at the heart of our workplace culture.
• Impactful Work: Play a key role in projects that make a real difference in both our company and the broader national security field.

Key Responsibilities:

• As a Senior Data Scientist, you will be a critical part of the team that is 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. 
• You will be part of a technical team 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.
• When supporting sites, you 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. 
• You will be directly assisting both analyst / technical and non-analyst / non-technical stakeholders with the analysis of DoD datasets and demonstrating the 'art of the possible' to the stakeholders and VIPs with insights gained from your analysis of DoD Test and Evaluation (T&E) data. 
• As such this position requires the ability to effectively communicate at both a programmatic and technical level. 
• Although you potentially may be the only team member physically on-site supporting you will not be alone. 
• You will have reach-back support from other members of the data science team as well as the software engineering and system administration teams. 
• While onsite, you 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. 

Work Environment:

• Location: Remote