{"id":2921583,"url":"https://alion.io/job/kbr-data-scientist","title":"Data Scientist","company":{"id":4344,"name":"KBR","domain":"kbr.com","url":"https://alion.io/company/kbr","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":244,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chantilly, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":181000,"currency":"USD","period":"year","gross":null,"usd_annual":181000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-23T19:38:47Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Title:\nData ScientistThe Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer’s mission by evaluating, assessing, and improving advanced analytics capabilities used across intelligence operations. This role focuses on reviewing existing statistical models, machine learning algorithms, and analytic methodologies to ensure they meet mission requirements, performance objectives, and operational needs. The position analyzes complex structured and unstructured datasets to assess algorithm effectiveness, identify optimization opportunities, and recommend enhancements to government stakeholders. The Data Scientist works closely with government personnel, developers, engineers, and analysts to support model validation, performance evaluation, and analytic modernization efforts. This role operates within a classified environment and contributes to the advancement of data-driven intelligence capabilities supporting national security objectives.\nRoles and Responsibilities\nReview, assess, and provide recommendations for improving existing statistical models, machine learning algorithms, and analytic workflows supporting Space and Counterspace missions.\nEvaluate algorithm performance, accuracy, scalability, and operational effectiveness against mission requirements and customer objectives.\nAnalyze large, complex datasets from multiple intelligence and operational sources to identify trends, anomalies, and opportunities for analytic enhancement.\nConduct validation and verification activities to ensure analytic models and algorithms produce reliable and reproducible results.\nAssess data quality, source integrity, and data management practices that impact algorithm performance and analytic outcomes.\nDevelop technical assessments, recommendations, and briefing materials to support government decision-making and capability improvements.\nSupport the integration and evaluation of new data sources, analytic techniques, and modeling approaches within existing mission systems.\nCollaborate with government stakeholders, engineers, and data science teams to prioritize improvements and implement approved changes.\nDocument methodologies, evaluation criteria, findings, and recommendations to support governance, oversight, and mission continuity.\nEnsure compliance with security, data governance, and classified environment requirements throughout all analytical activities.\nBasic Qualifications\nBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.\n6+ years of experience in data science, advanced analytics, machine learning, algorithm evaluation, or a related technical discipline.\nExperience evaluating, validating, testing, or improving statistical models, machine learning algorithms, or analytic methodologies.\nProficiency in Python, R, or similar data science programming languages and experience using associated analytical libraries and frameworks.\nActive Top Secret clearance with Sensitive Compartmented Information (TS/SCI) access and Current Polygraph.\nPreferred Qualifications\nExperience supporting Department of Defense (DoD), Intelligence Community (IC), Space Domain Awareness (SDA), or national security missions.\nExperience with machine learning frameworks and model evaluation tools.\nMaster's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Intelligence Studies, or a related field.\nBasic Compensation:\n$$150,000 - $181,000\nThis range is for the Virginia area only\nThe offered rate will be based on the selected candidate’s knowledge, skills, abilities, and/or experience and in consideration of internal parity.\nAdditional Compensation:\nKBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance\nBelong, Connect and Grow at KBR\nAt 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.\nKBR is an equal opportunity employer. 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