Senior Data Scientist - Operational Analytics

Welcome page Returning candidate? Log back in! Senior Data Scientist - Operational Analytics Job Locations US-VA-Herndon | US-MD-Bowie | US-MD-Annapolis Junction Requisition ID 2026-166992 Position Category Information Technology Clearance Public Trust Responsibilities Peraton Labs is seeking a Data Scientist to support the BNATCS CTO Advanced Analytics and Digital Command Center teams by transforming complex workstream, program, schedule, requirements, and operational data into trusted metrics, analytical insights, and decision-support products. This role will support the analytics foundation behind the Digital Command Center (DCC) by helping interpret, model, visualize, and operationalize complex workstream data. You will work closely with CTO leadership and mission stakeholders to transform raw and evolving program data into actionable insights, dashboards, metrics, and analytics products that support FAA modernization objectives. The ideal candidate for this role brings strong analytical judgment, cognitive flexibility, hands-on comfort with data, and the ability to understand both the technical structure of data and the operational meaning behind it. Candidates for this role should be able to analyze, reason, and communicate well enough to contribute to analytics workflows, dashboard logic, data validation, and integration activities supporting the consolidated data environment that feeds the program’s agentic AI engine. Experience with FAA, NAS, Aviation, air traffic operations, transportation, safety-critical systems, or large-scale modernization data is highly relevant to this position. Key responsibilities may include, but are not limited to:Analyze workstream, requirements, IMS, schedule, risk, operational, and program data to identify trends, dependencies, gaps, anomalies, and decision-relevant insightsDefine operational metrics, KPIs, analytical logic, thresholds, and decision-support views for Digital Command Center dashboards and advanced analytics productsAssess the quality, completeness, consistency, and usability of data made available through enterprise data repositoriesPartner with data architects and data engineers to identify data gaps, transformation needs, metadata requirements, and analytics-readiness issuesSupport ai-enabled analytics workflows by helping define trusted data inputs, context, validation criteria, and human-in-the-loop review considerationsDevelop notebooks, scripts, SQL queries, statistical analyses, models, and reusable analytical artifacts to support data exploration and decision-makingTranslate ambiguous operational questions into structured analysis, measurable metrics, and clear recommendationsCommunicate assumptions, limitations, findings, and implications to technical teams, program leadership, and mission stakeholders Qualifications Required Qualifications8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ with a PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, Information Systems, Analytics, or a related technical disciplineExperience analyzing complex structured, semi-structured, operational, program, or business datasets to support decision-makingProficiency with Python, R, SQL, or similar analytical tools, with the ability to develop notebooks, scripts, queries, and reusable analysis artifactsExperience with exploratory data analysis, data cleaning, statistical analysis, trend analysis, anomaly detection, forecasting, classification, clustering, or predictive modelingExperience defining or supporting metrics, KPIs, dashboards, reports, or decision-support productsAbility to assess data quality, completeness, consistency, and analytical usefulnessAbility to translate ambiguous operational and stakeholder questions into structured analyses and measurable outputsUS Citizenship and the ability to obtain an FAA Public Trust clearanceDesired Additional Qualifications Experience supporting FAA, aviation,...