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-domain

Candidates 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 technology
• aerospace & defense
• military systems
• intelligence platforms
• cyber defense
• autonomous systems
• government / DoD environments

What You’ll Work On

• Build advanced analytics and intelligence systems for operational deployments
• Develop anomaly detection, predictive modeling, and monitoring frameworks
• Design scalable ML pipelines for structured and unstructured sensor data
• Detect model drift, edge cases, and operational failures
• Support retraining workflows and dataset enrichment
• Build experimentation, visualization, and operational analytics platforms
• Partner with engineering, product, and mission teams to deploy production AI systems
• Improve decision-making from real-world telemetry and field data

Required Qualifications

• 10+ years of applied Data Science / Machine Learning experience
• Strong experience in defense, aerospace, intelligence, cyber, or government systems
• Expert-level Python and SQL
• Strong experience with:
• pandas
• NumPy
• scikit-learn
• Spark / distributed data systems
• Deep statistical modeling and anomaly detection expertise
• Experience with:
• time-series analytics
• telemetry analytics
• multi-sensor data
• operational intelligence systems
• Experience building production ML systems end-to-end
• Experience with ML Ops, monitoring, and model lifecycle management
• Strong systems thinking and architecture ownership experience

Highly Preferred

• Experience at defense-tech or aerospace organizations such as:
• Anduril Industries
• Palantir Technologies
• Lockheed Martin
• Northrop Grumman
• Raytheon
• Shield AI
• L3Harris Technologies
• Leidos
• General Dynamics
• TS/SCI or active security clearance
• Edge AI or autonomous systems experience
• Sensor fusion or ISR systems exposure
• Cyber anomaly detection experience
• Geospatial analytics or satellite intelligence experience
• Startup or defense-tech startup background
• PhD in Computer Science, Statistics, Applied Mathematics, Physics, or related field

Technical Environment

• Python
• SQL
• Spark / Kafka
• ML Ops platforms
• Cloud infrastructure (AWS/GCP/Azure)
• Time-series analytics
• Distributed ML systems
• Monitoring & observability frameworks
• Real-time analytics pipelines
• Edge AI systems

Ideal Candidate Profile

You are:

• highly hands-on technically
• comfortable operating in ambiguous environments
• capable of owning systems end-to-end
• experienced in mission-critical production systems
• comfortable working with operational or deployment data
• capable of shipping quickly in high-performance environments

Defense 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