Delivering decisive capabilities for space superiority. Backed by Accel and Menlo.
About the role
You'll turn spacecraft data into actionable insights across manufacturing and operations: building dashboards that surface production bottlenecks and on-orbit anomalies, analyzing test failures and mission telemetry to identify root causes, training predictive models that flag at-risk components before integration and detect spacecraft health degradation during missions, and mining telemetry to catch anomalies operators would miss. Your work spans the full spacecraft lifecycle.
What they're looking for
- Bachelor's or Master's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or related quantitative field
- Proficiency in Python for data analysis: pandas, numpy, matplotlib, seaborn
- Working knowledge of SQL for querying relational databases: SELECT, JOIN, GROUP BY, aggregation functions
- Coursework in statistics: hypothesis testing, regression, probability distributions, experimental design
- Ability to create clear visualizations that communicate insights to technical and non-technical audiences
- Strong curiosity about how things fail and how data can predict failures before they happen
More about this role
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
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You'll turn spacecraft data into actionable insights across manufacturing and operations:...
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