True Anomaly
Software Engineer I, Data Science (New Grad)
Denver, CO or Long Beach, CAFrom $75ktemporaryentryAdded today
About this role
Entry-level data science role supporting spacecraft manufacturing and on-orbit operations at a space defense company. You'll analyze telemetry and test data to build dashboards, train predictive models for component failure detection, and surface anomalies across the spacecraft lifecycle.
What you'll do
- Perform exploratory data analysis on manufacturing telemetry, test logs, and spacecraft health data to identify patterns and anomalies
- Build operational dashboards in Grafana or Plotly Dash for production status, spacecraft health, and anomaly alerts
- Train predictive models (logistic regression, random forests) to flag at-risk components and predict spacecraft degradation
- Write SQL queries to extract, join, and aggregate data from operational databases
- Analyze test failures and mission telemetry to identify root causes and failure patterns
- Monitor on-orbit telemetry streams and detect health degradation during spacecraft missions
What they're looking for
- Python for data analysis and model building
- SQL for data extraction and aggregation
- Predictive modeling (logistic regression, random forests)
- Data visualization and dashboard development (Grafana, Plotly Dash)
- Exploratory data analysis
- Telemetry data interpretation
- Time-series analysis
- Statistical analysis
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True Anomaly
True Anomaly develops advanced spacecraft and aerospace defense systems for mission-critical space applications. The company is hiring mechanical, thermal, systems, and test engineers to design, test, integrate, and verify complex space vehicle systems.
- Website
- trueanomaly.com
Likely interview questions
- Walk us through a project where you built a predictive model—what was your approach to feature selection and model evaluation?
- How would you approach analyzing a large telemetry dataset to identify subtle anomalies that might indicate spacecraft degradation?