Data Scientist

USA, Herndon, 2551 Dulles View Drive, Suite 200 & 300, Virginia, United States

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Title:

Data Scientist

Belong. Connect. Grow. with KBR!

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

KBR is seeking a self-driven, bold, and passionate Data Scientist to support our team as we guide a critical local customer towards its goals in digital transformation. This role will benefit from the addition of a team member who can re-imagine what aspects of the transformation would benefit from analysis and measurement and who would be excited to explore how new tools could revolutionize the way work is completed.

Why Join Us?

  • Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.

  • Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.

  • Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

Key Responsibilities:

  • Coordinate and drive the efforts of a small team of analysts, and additionally coordinate your team’s work with broader pathfinder work across our larger team.

  • 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.

  • Provide analyses that contribute to a process lifecycle.

  • Evaluate and test how emerging AI/ML methods might enhance both our analyses and the work of the engineers we’re supporting.

Work Environment:

  • Location: On-site

  • Travel Requirements: <10% for Contract Support.

  • Working Hours: Standard

Required Qualifications: 

  • Bachelor’s Degree in a computer science, data science, computational science, mathematics, or data-related discipline and 10 years of relative experience.

  • Compelling data wrangling experience.

  • Evidence of independent determination of solution paths for complex problems.

  • Active TS/SCI w/ Poly required.

  • 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.

  • An interest in and knowledge of AI/ML techniques, including work with LLMs.

  • 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 ML/NLP/LLM tools.

  • Experience leading teams.

  • Experience building complex dashboards (tool agnostic).

  • Experience creating effective metrics for complex problems.

  • Experience supporting data exchanges and code development in a TS/SCI environment.

Ready to Make a Difference?

If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.

KBR Benefits

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  2  1  0
Category: Data Science Jobs

Tags: Computer Science Data analysis Data visualization Engineering ETL Excel LLMs Machine Learning Mathematics NLP Python Security Statistics

Perks/benefits: 401(k) matching Career development Flex hours Flexible spending account Flex vacation Health care Insurance

Region: North America
Country: United States

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