Data Scientist II

KBR

22h•Onsite

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. This position will have a profound impact on protecting national security. KBR seeks a Data Scientist to support the CAPE Joint Data Support (JDS) Division. CAPE JDS is a multi-source funded and OSD CAPE managed organization responsible for identifying, collecting, developing, analyzing, managing, and disseminating historical, current, and future years U.S. and Non-U.S. forces inventory, capabilities, and deployment data (including planning, programming, and acquisition data) supporting collaborative study teams guided by the Analysis Working Group (AWG). JDS develops standardized data products and analytic tools to support Joint analytic efforts focused on Senior Leader decision support. Additionally, JDS supports AWG led SCI/SAP/SAR studies and analyses. The Data Scientist, as part of a team, will be responsible for the analysis and evaluation of user business problems and the development of system recommendations to meet requirements. This role analyzes current and technical processes to formulate and develop new and modified methods, techniques or systems. Duties include coordinating with business and technology teams to ascertain system requirements, such as program functions, output requirements, input data acquisition, execution of user acceptance, and may coordinate testing and system controls. The Data Scientist develops technical solutions that require collaboration with experts, deep analyses and understanding of impact on end-product/solution. They develop solutions to technical problems and issues that are unclear and require deep technical knowledge, communicate with client project team members, and work to influence team members regarding solution design, process and/or approaches.

Requirements

Must have an active Secret security clearance.
Bachelor’s degree in data science, statistics, mathematics, or a related field.
Four (4) years of experience working with object-oriented programming languages and other coding environments (e.g., Python, Java, C++, C#, R, MATLAB, and Simulink).
Four (4) years of experience designing, executing, and delivering data analyses leveraging at least one (1) of the following areas: Statistics (Expertise with statistical modeling, experimental design, sampling, clustering, data reduction, confidence intervals, testing, modeling, and predictive modeling); Mathematics (Expertise with big data and performing inventory management, forecasting, optimization, and supply chain analysis); Visualization (Expertise providing visualization of data and analytic results in a meaningful way for senior decision makers to understand quickly with minimal to no explanation. These tasks will require expertise using programs such as Tableau, ArcGIS, and R to display data); Artificial Intelligence & Machine Learning (Expertise utilizing artificial intelligence and machine learning techniques for developing and running algorithms and dealing with computational complexity).
Adeptness in interfacing with clients.
Demonstrated expertise in Structured Query Language (SQL).

Nice To Haves

TS/SCI Clearance

Responsibilities

Support the CAPE Joint Data Support (JDS) Division.
Analyze and evaluate user business problems and develop system recommendations to meet requirements.
Analyze current and technical processes to formulate and develop new and modified methods, techniques or systems.
Coordinate with business and technology teams to ascertain system requirements, such as program functions, output requirements, input data acquisition, execution of user acceptance, and may coordinate testing and system controls.
Develop technical solutions that require collaboration with experts, deep analyses and understanding of impact on end-product/solution.
Develop solutions to technical problems and issues that are unclear and require deep technical knowledge.
Communicate with client project team members.
Work to influence team members regarding solution design, process and/or approaches.