Data Scientist, Phased Array Antenna System Validation
Core
Analyze in-orbit satellite telemetry and ground test data to detect anomalies, correlate hardware behaviors, and drive engineering decisions for the Phased Array Antenna System Validation team.
Role type
Senior IC data scientist (satellite telemetry & reliability)
Builds
Fleet health baselines, early warning indicators, and automated monitoring dashboards for satellite subsystems
Domain
Aerospace / Satellite telemetry / Reliability engineering
Deliverable
production ML models
Required skills
Python, SQL, time-series analysis, anomaly detection, hypothesis testing, regression, statistical methods, data visualization, dashboarding, root-cause analysis, ambiguous problem framing
Preferred skills
Satellite telemetry analysis, survival analysis, Weibull modeling, RF/electronics hardware familiarity, Spark/Athena/Presto/Redshift, AWS, QuickSight/Tableau/Grafana, data pipeline automation, AI-assisted analysis
Technologies
Python, SQL, Spark, Athena, Presto, Redshift, AWS, QuickSight, Tableau, Grafana, Plotly, Dash
Responsibilities
Analyze in-orbit telemetry to measure subsystem health and detect anomalies; Correlate in-orbit behavior with pre-launch manufacturing and environmental test data; Connect fleet-wide events by build lot, configuration, and orbit to identify systemic issues; Build visualizations and dashboards for fleet health reviews; Work with software engineers to automate recurring analyses and improve data pipelines; Own end-to-end investigations from hypothesis formation to engineering recommendations
Seniority
Senior, hands-on IC