Data Scientist Mid

**KBR’s Data Scientist

• Mid Role (Chantilly, VA, Remote Options): Comprehensive Guide for Early-Career Applicants**

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Company Intelligence

• History, Size, and Industry Position
• KBR, Inc. (formerly Kellogg Brown & Root) is a major U.S.-based science, technology, and engineering company, founded in 1901 and headquartered in Houston, Texas.
• It employs approximately 37,000 people globally and reported revenues of $7.4 billion in recent years.
• KBR is a leading provider of solutions in aerospace, defense, intelligence, energy, and industrial sectors.
• The company is a key contractor for NASA and the U.S. government, with a strong presence in mission-critical and technology-driven projects.
• Recent News, Growth, and Strategic Directions
• In 2025, KBR reported 6% revenue growth and is targeting over $9 billion in revenue by

• The company is spinning off its government services segment (Mission Technology Solutions) by late 2026, focusing more on sustainable technology and high-margin, tech-driven projects.
• KBR is expanding in digital, data, and engineering solutions, especially for defense and infrastructure clients seeking integrated, ESG-compliant solutions.
• Culture and Work Environment
• KBR emphasizes efficiency, safety, and purposeful solutions.
• The company is known for supporting large, complex projects and values innovation, collaboration, and technical excellence.
• Work environments vary by team, but remote and hybrid options are increasingly available, especially for technical and data roles.
• Values, Mission, and What They Stand For
• KBR’s mission centers on delivering purposeful, comprehensive solutions for government and industry clients, with a focus on responsibility, safety, and sustainability.
• The company is committed to corporate governance, ethical conduct, and supporting national and global priorities.
• Office Locations and Remote Policies
• Headquarters: Houston, TX.
• Key offices: Chantilly, VA (site of this role), and other U.S. and international locations.
• Remote/hybrid work is supported for many roles, especially in data science and technology.

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Program Deep Dive

• Program Structure and Timeline
• The "Data Scientist
• Mid" role is typically a full-time, early-career position (not a rotational graduate program), suitable for recent graduates and those with 1-3 years’ experience.
• Onboarding includes initial training, project assignments, and integration into a technical team.
• Skills and Competencies Sought
• Technical: Python, R, SQL, machine learning, data visualization (Tableau, Power BI), cloud platforms (AWS, Azure), and statistical analysis.
• Soft Skills: Problem-solving, communication, teamwork, adaptability, and the ability to explain technical concepts to non-technical stakeholders.
• Daily Responsibilities and Learning Opportunities
• Analyze large datasets to extract actionable insights for government and defense projects.
• Develop predictive models, automate data pipelines, and support mission-critical decision-making.
• Collaborate with engineers, analysts, and project managers on cross-functional teams.
• Exposure to real-world applications in national security, aerospace, and infrastructure.
• Mentorship and Training
• New hires are typically paired with a mentor or senior data scientist.
• Access to internal training, technical workshops, and professional development resources.
• Opportunities to attend industry conferences and pursue certifications.
• Career Progression
• Typical paths: Data Scientist → Senior Data Scientist → Lead/Principal Data Scientist or transition into Data Engineering, Analytics, or Project Management.
• KBR’s size and project diversity allow for mobility across teams and domains.

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Application Success Guide

• Requirements and Deadlines
• Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 1-3 years’ experience (internships count); strong portfolio or project experience is valued.
• U.S. citizenship or security clearance may be required for government projects.
• Rolling applications; apply ASAP as roles fill quickly.
• Step-by-Step Application Process

1. Online Application: Submit resume, cover letter, and (optionally) portfolio via Indeed or KBR’s careers site.
2. Screening: HR review for basic qualifications.
3. Technical Assessment: May include coding tests, data analysis case studies, or take-home assignments.
4. Interviews: One or more rounds with technical leads and HR; may include behavioral and technical questions.
5. Offer and Background Check: Includes reference and (for some roles) security clearance checks.

• Common Interview Questions
• Describe a data science project you led from start to finish.
• How do you handle missing or messy data?
• Explain a machine learning algorithm to a non-technical stakeholder.
• How would you approach a new dataset from a government client?
• Behavioral: Tell us about a time you worked on a cross-functional team.
• Assessment Centers/Case Studies
• Some candidates may be asked to complete a case study or technical challenge relevant to defense or infrastructure analytics.
• What Makes a Standout Candidate
• Demonstrated ability to solve real-world problems with data.
• Strong communication skills and ability to work in regulated, mission-driven environments.
• Passion for national security, aerospace, or public sector impact.

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Insider Tips

• Interview Tips and Company Values
• Emphasize integrity, responsibility, and teamwork—core KBR values.
• Be prepared to discuss how your work aligns with mission-driven projects and public sector impact.
• Technical Skills vs. Soft Skills
• Technical skills are essential, but soft skills (communication, adaptability, teamwork) are highly valued, especially for client-facing or cross-functional roles.
• Industry Knowledge to Demonstrate
• Awareness of defense, aerospace, or energy sector trends.
• Understanding of data privacy, security, and compliance in government projects.
• Questions to Ask Interviewers
• What are the biggest data challenges facing your team right now?
• How does KBR support professional development for early-career employees?
• What is the team’s approach to mentorship and knowledge sharing?
• How does KBR balance innovation with regulatory requirements?
• Red Flags to Avoid
• Lack of interest in the company’s mission or public sector work.
• Overemphasis on technical skills without teamwork or communication examples.
• Not researching KBR’s recent projects or strategic direction.

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Practical Information

• Salary/Stipend Ranges
• Mid-level Data Scientist: $90,000–$120,000 base salary, depending on experience and location (industry averages for KBR and similar firms).
• Benefits Package
• Health, dental, vision insurance.
• 401(k) with company match.
• Paid time off, parental leave, and wellness programs.
• Professional development and tuition reimbursement.
• Start Dates and Duration
• Most roles are full-time, permanent positions with start dates based on business need and candidate availability.
• Networking and Alumni Connections
• Access to internal employee resource groups, technical communities, and alumni networks.
• Opportunities to attend industry events and conferences.

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Actionable Advice:

• Tailor your resume to highlight both technical and teamwork skills.
• Research KBR’s recent projects and strategic shifts (especially in defense, digital, and sustainability).
• Prepare for both technical and behavioral interviews.
• Show genuine interest in mission-driven work and public sector impact. This approach will maximize your chances of success for KBR’s Data Scientist
• Mid role and similar opportunities in the industry.