Data Scientist (II-Senior), Manufacturing Analytics
Core
Build predictive models and anomaly detection systems for manufacturing telemetry to prevent spacecraft component failures and optimize production workflows.
Role type
Senior IC data scientist (manufacturing analytics)
Builds
Predictive models, real-time anomaly detection systems, diagnostic tools, and operational dashboards for spacecraft manufacturing and testing.
Domain
Aerospace manufacturing / Reliability engineering
Deliverable
production ML models | dashboards & analysis
Required skills
Python (pandas, scikit-learn), SQL, statistical modeling (hypothesis testing, regression, time-series, survival analysis), data pipeline engineering, causal inference, root cause analysis
Preferred skills
Reliability engineering (Weibull, Cox models), statistical process control (SPC), anomaly detection (Isolation Forest, LSTM), imbalanced classification, NLP for log analysis
Technologies
Python, SQL, Jupyter, scikit-learn, pandas, matplotlib
Responsibilities
Build predictive models for component failure prediction using manufacturing telemetry; Design and deploy real-time anomaly detection systems for launch operations; Perform root cause analysis on schedule delays and test failures; Develop data-driven diagnostic systems fusing manufacturing history and supplier data; Build and maintain operational dashboards for real-time situational awareness; Mine historical data to identify failure patterns and quantify risk.
Seniority
Senior, hands-on IC
