Delivering decisive capabilities for space superiority. Backed by Accel and Menlo.
About the role
You'll build predictive models that catch component failures before they impact missions by analyzing manufacturing telemetry, deploy real-time anomaly detection systems for testing and operations that flag deviations operators would miss, and investigate schedule slips and quality issues using data-driven root cause analysis to distinguish signal from noise.
What they're looking for
- Proficient in Python (pandas, scikit-learn, matplotlib) and SQL for data manipulation, analysis, and visualization
- Strong statistical fundamentals: hypothesis testing, regression, time-series analysis, survival analysis, and experimental design
- Experience building end-to-end data pipelines: data cleaning, feature engineering, model training, validation, and deployment
- Ability to communicate technical findings to non-technical stakeholders through clear visualizations and actionable recommendations
- Eagerness to learn manufacturing, operations, and reliability engineering domains where data science drives real operational improvements
- Passion for spaceflight and building reliable systems that perform in high-stakes environments
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
You'll build predictive models that catch component failures before they impact missions by analyzing manufacturing telemetry, deploy real-time anomaly detection systems for testing and operations that flag deviations operators would miss, and investigate schedule slips and quality issues using data-driven root cause analysis to distinguish signal from noise. You'll mine historical production data to identify bottlenecks, optimize test durations, and reduce rework, while scoring supplier reliability and...
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