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Staff Engineer (Data Analysis)
Shield AI · Dallas, United States
About The Role
Join our team as a Staff Engineer (Data Analysis) and lead V-BAT's fleet data analysis efforts. You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance. You will work closely with various teams to turn complex aircraft data into actionable engineering insights.
- Lead the technical strategy for V-BAT fleet data analysis, including the development and improvement of analysis pipelines and tooling.
- Conduct fleet-wide studies to identify trends in hardware quality, system performance, reliability, and operational behavior, and facilitate deep studies into flight-critical sensor performance.
- Mentor engineers on effective data analysis practices and raise the quality bar for data-driven engineering decisions across the V-BAT team.
- Experience working with large, messy datasets from deployed products, test events, simulations, production systems, or operational environments
- Strong communication skills and the ability to influence cross-functional engineering, production, quality, and operations teams
- 5+ years of relevant experience with a Bachelor’s degree in Computer Science, Data Science, or a related technical field
- Ability to translate ambiguous engineering questions into structured analysis, sound conclusions, and clear recommendations
- Strong Python skills and experience building data analysis tools, automated analysis workflows, or data pipelines
- Experience analyzing data from fielded physical products such as aerospace systems, automotive systems, robotics platforms, commercial electronics, IoT devices, industrial equipment, or similarly complex real-world systems
- Experience with anomaly detection, trend analysis, statistical process control, reliability analysis, regression detection, or automated validation of complex systems
- Experience with databases, cloud storage, data lake architectures, time-series databases, telemetry systems, or data cataloging
- Experience building production-quality dashboards, automated reports, data products, or fleet-health monitoring systems
- Experience with Matlab, Jupyter, or similar analysis and visualization tools
- Experience with flight test data, aircraft telemetry, UAVs, robotics, autonomy, embedded systems, GNC, navigation systems, communications systems, or aerospace sensor suites
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