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True Anomaly builds autonomous spacecraft, advanced payloads, mission software, and space-based interceptors for U.S. and allied space superiority. This Data Scientist II role focuses on manufacturing analytics for spacecraft production and integration.
You will build predictive models that catch component failures before they impact missions by analyzing manufacturing telemetry, test data, and historical reliability records. You'll design and deploy real-time anomaly detection systems for launch operations, environmental testing, and spacecraft integration that flag deviations without overwhelming operators with false alarms.
Key responsibilities include performing root cause analysis on schedule delays, test failures, and quality escapes using causal inference, data mining, and statistical modeling. You'll develop integrated diagnostic systems that fuse manufacturing history, supplier data, test logs, and failure reports to narrow root causes and accelerate troubleshooting. You'll also build and maintain operational dashboards providing real-time situational awareness across production, test, and integration workflows.
Additional work includes mining historical test and production data to identify patterns, cluster failure modes, prioritize process improvements, and quantify risk for upcoming builds. You'll score supplier reliability and predict delivery delays to flag at-risk components. Throughout, you'll work closely with engineering and operations teams to keep spacecraft on schedule and missions on track.
This is a hands-on role combining machine learning, statistical analysis, and domain expertise in advanced manufacturing and space systems.
