Staff Data Scientist

Staff Data Scientist — Defense AI / Sensor Intelligence (Only US Citizen) 📍 Hybrid in Arlington, VA or remote in Boston, the Bay Area, San Diego, or Los Angeles. Another office outside of Arlington may be established in the near future.💰 $260k+ with Equity🛡️ U.S. Defense / Government Experience defense-domainCandidates without defense-domain experience are unlikely to be considered.We are hiring a Staff Data Scientist to help build next-generation AI systems powering mission-critical defense and sensor intelligence platforms.Quartermaster specializes in placing sensors on boats to monitor ocean activity, detecting illegal fishing and smuggling.This role is focused on transforming large-scale operational and sensor data into actionable intelligence through advanced machine learning, anomaly detection, experimentation systems, and scalable analytics infrastructure.We are specifically seeking candidates with direct experience in:defense technologyaerospace & defensemilitary systemsintelligence platformscyber defenseautonomous systemsgovernment / DoD environmentsWhat You’ll Work OnBuild advanced analytics and intelligence systems for operational deploymentsDevelop anomaly detection, predictive modeling, and monitoring frameworksDesign scalable ML pipelines for structured and unstructured sensor dataDetect model drift, edge cases, and operational failuresSupport retraining workflows and dataset enrichmentBuild experimentation, visualization, and operational analytics platformsPartner with engineering, product, and mission teams to deploy production AI systemsImprove decision-making from real-world telemetry and field dataRequired Qualifications10+ years of applied Data Science / Machine Learning experienceStrong experience in defense, aerospace, intelligence, cyber, or government systemsExpert-level Python and SQLStrong experience with:pandasNumPyscikit-learnSpark / distributed data systemsDeep statistical modeling and anomaly detection expertiseExperience with:time-series analyticstelemetry analyticsmulti-sensor dataoperational intelligence systemsExperience building production ML systems end-to-endExperience with ML Ops, monitoring, and model lifecycle managementStrong systems thinking and architecture ownership experienceHighly PreferredExperience at defense-tech or aerospace organizations such as:Anduril IndustriesPalantir TechnologiesLockheed MartinNorthrop GrummanRaytheonShield AIL3Harris TechnologiesLeidosGeneral DynamicsTS/SCI or active security clearanceEdge AI or autonomous systems experienceSensor fusion or ISR systems exposureCyber anomaly detection experienceGeospatial analytics or satellite intelligence experienceStartup or defense-tech startup backgroundPhD in Computer Science, Statistics, Applied Mathematics, Physics, or related fieldTechnical EnvironmentPythonSQLSpark / KafkaML Ops platformsCloud infrastructure (AWS/GCP/Azure)Time-series analyticsDistributed ML systemsMonitoring & observability frameworksReal-time analytics pipelinesEdge AI systemsIdeal Candidate ProfileYou are:highly hands-on technicallycomfortable operating in ambiguous environmentscapable of owning systems end-to-endexperienced in mission-critical production systemscomfortable working with operational or deployment datacapable of shipping quickly in high-performance environmentsDefense AI | Sensor Intelligence | ISR | Telemetry Analytics | Edge AI | Mission Systems | Autonomous Systems | Anomaly Detection | ML Ops | Time Series | Cyber Analytics | Defense-Tech | DoD | TS/SCI | Sensor Fusion | Operational Intelligence | Real-Time Analytics | Geospatial Analytics | Distributed ML Systems