Mid-Level Data Scientist

KBR•El Segundo, CA

2d•$135,000 - $150,000•Onsite

About The Position

KBR is seeking a mid-level Data Scientist to support a Science and Engineering Technical Support contract for the United States Space Force. The role supports the Space Systems Command (SSC) Space Systems Integration Office (SSIO) Space Enterprise Integration Model team, working with Model-based Systems Engineers on data analysis, extracting data from models, and developing custom scripts, dashboards, and visualizations. The Data Scientist will work alongside SSC personnel on engineering-related tasks, applying critical thinking to solutions for current threat environments for National Security Space customers. This is a full-time, on-site position at the Aerospace complex in El Segundo, California. The role requires an active TS/SCI clearance and the ability to obtain SAP clearance. Travel is minimal, and the position is scheduled for 40 hours per week. KBR's Mission Technology Solutions business is planned to spin off as Trinzic in January 2027. Employees who join the business before the spin-off will transition to Trinzic after the separation is complete and will not need to reapply.

Requirements

At least 2 years of experience.
Ability to work on-site in El Segundo; remote work is not available.
Scripting experience in Python and Java to extract elements, connectors, item flows, and metadata.
Experience navigating object hierarchies, parent-child tree structures, port mappings, and connector endpoints to output tabular data.
Proficiency querying and extracting backend Sparx EA model data using SQL.
Experience extracting, mapping, and transforming semi-structured object data into tabular formats.
Experience building dashboards or visualizations in tools such as Power BI or Tableau.
Experience automating user interaction with Java Swing dialogs to let users select a file and export.
Experience creating data collection frameworks for structured and unstructured data.
Experience creating user-friendly reports using various databases and systems.
Active TS/SCI clearance and ability to obtain SAP clearance.

Nice To Haves

Bachelor of Science in Data Science.
Jython and Groovy scripting.
Experience with MBSE data from tools such as Cameo, No Magic System Modeler, or Sparx EA.
Experience building dashboards or visualizations in Palantir Foundry.
Experience working with JIRA or Confluence.
Experience in space operations or acquisition.

Responsibilities

Analyze data and extract data from models in support of the Space Enterprise Integration Model team.
Develop custom scripts, dashboards, and visualizations.
Work with Model-based Systems Engineers and SSC personnel on engineering-related tasks.
Apply critical thinking to develop solutions concerning current threat environments for National Security Space customers.
Extract model elements, connectors, item flows, and metadata using scripting.
Navigate object hierarchies, parent-child tree structures, port mappings, and connector endpoints to produce tabular data.
Query and extract backend Sparx EA model data using SQL.
Extract, map, and transform semi-structured object data into tabular formats.
Build dashboards and visualizations using tools such as Power BI or Tableau.
Automate user interaction with Java Swing dialogs to allow users to select files and export data.
Create data collection frameworks for structured and unstructured data.
Create user-friendly reports using various databases and systems.

Benefits

Potential eligibility for a 401(k) plan with company match.
Medical insurance.
Dental insurance.
Vision insurance.
Life insurance.
Accidental death and dismemberment coverage.
Flexible spending account.
Disability benefits.
Paid time off.
Potential flexible work schedule.
Professional training and development.
Additional compensation may include sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance, subject to internal policy or contractual designation.