Data Scientist

Title:

Data Scientist At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.

Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions. 

Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact. 

Candidates who join KBR's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment. 

KBR/Trinzic is seeking a self-driven, bold, and passionate Data Scientist to join us on an exciting journey of professional thrill and personal growth as the KBR/Trinzic Team helps a critical local customer achieve its goals in digital transformation in Chantilly, VA. An active/current TS/SCI with Polygraph is required for consideration.

Key Responsibilities:

• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Process, cleanse, and verify the integrity of data used for analysis
• Clearly document and present methodology, assumptions, and findings
• Consult with subject matter experts to create relevant and effective tracking metrics
• Use Python and Tableau Prep to create and maintain multiple data artifacts that are updated daily
• Create and Maintain Tableau dashboards for several projects
• Provide analyses that contribute to a process lifecycle

Basic Compensation:

$98,000 - $120,000 USD annually

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

Required Qualifications: 

• Bachelor’s Degree in a computer, mathematics, or data-related discipline.
• Compelling data wrangling experience (2 years).
• Active TS/SCI w/ Polygraph clearance is required to be considered.
• Travel -
• Significant experience using Python in a data wrangling environment.
• Extract, Transform, Load (ETL) experience.
• Significant experience in creating effective statistical analysis and data visualizations.
• Strong analytical and problem-solving skills with hands on experience with driving analytic insights.
• Ability and motivation to self-teach to stay current with leading best practices in analytics.
• Ability to tackle difficult problems specifically working with unstructured textual data.
• Expected to deliver in a fast-paced, team-oriented work environment.
• Must thrive in satisfying analytic requirements from diverse user base.
• Expected to be able to adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization.
• Must have the knowledge and communication skills to articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
• Strong interpersonal and team-building skills, as well as clear and concise written, verbal communications and presentation skills.
• Proficient in Microsoft Office products (Word, Excel, PowerPoint).
• The ability to work in a secure, confined location (i.e., SCIF).

Desired Qualifications:

• Master’s Degree in a computer, mathematics, or data-related discipline.
• Knowledge/exposure to system engineering for satellite systems, ground-based mission systems or mission operations.
• Experience with spaCy or other NLP tools.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.