Data Scientist (II-Senior), Operations & Reliability
Core
Build predictive models and anomaly detection systems for spacecraft manufacturing and operations to prevent component failures and optimize production workflows.
Role type
Senior IC data scientist (operations & reliability)
Builds
Autonomous spacecraft, mission software, and space-based interceptors
Domain
Aerospace / Space Systems / Manufacturing Operations
Deliverable
production ML models | dashboards & analysis
Required skills
Python (pandas, scikit-learn), SQL, statistical modeling (hypothesis testing, regression, time-series, survival analysis), causal inference, data pipeline engineering, root cause analysis, statistical process control (SPC)
Preferred skills
reliability engineering (Weibull, Cox models), manufacturing analytics, 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 logs and telemetry; Build and maintain operational dashboards for situational awareness; Mine historical data to identify patterns and quantify risk
Seniority
Senior, hands-on IC
