Lead Data Scientist

Overview As a hybrid Data Scientist and Data Engineer, you apply foundations in CS, math, and software engineering to design data systems and deploy advanced analytics and AI. You will work across the full data lifecycle, from modeling and processing to experimentation and deployment, tackling mission-critical problems for national security, health, and public services. You’ll join a team that values innovation and high technical excellence and contribute to MITRE’s impact-driven projects. This role offers opportunities to influence challenging domains while collaborating with cross-functional partners. Compensation / Benefitscompetitive benefitscareer development opportunitiesinternal R&D funding for innovative research ResponsibilitiesLead complex projects and guide teams to deliver data-driven solutionsOperate across the full data lifecycle: modeling, processing, infrastructure, analytics, and deploymentApply advanced analytics, ML, and AI techniques to solve mission problemsWork on areas like NLP, anomaly detection, graph analytics, and big data processingDevelop and maintain data pipelines, ETL workflows, and data qualityCollaborate with cross-functional teams and communicate complex concepts clearlyContribute to MLOps practices: model deployment, monitoring, and reproducibilityEnsure secure data handling and governance in cloud and on-prem environments Key requirementsBachelor in Computer Science, Applied Mathematics, Statistics, Data Science, or related field8 years of relevant experienceProficiency in Python and SQL; experience with ML techniques and large datasetsEligible for Top Secret security clearance; U.S. citizenship requiredMinimum on-site presence of 3 days per weekstrong communicationleadership and mentoringproblem-solving and analytical thinkingMachine Learning (supervised, unsupervised, deep learning, reinforcement learning)Natural Language Processing (summarization, classification, NER, topic modeling)Anomaly detection and predictive modeling