Staff Engineer, Data Analysis (R5290)

Shield AI is a venture-backed defense-tech company focused on protecting service members and civilians with intelligent systems. They are seeking a Staff Engineer to lead V-BAT’s fleet data analysis efforts, transforming complex aircraft data into actionable engineering insights and improving analysis workflows.

Responsibilities:

• Lead the technical strategy for V-BAT fleet data analysis across fielded aircraft, flight test, simulation, production, and quality workflows
• Own and improve the pipelines that transform raw flight, simulation, and fleet data into reliable engineering metrics, reports, and analysis products
• Conduct fleet-wide studies to identify trends in hardware quality, system performance, reliability, and operational behavior
• Analyze flight-critical sensor performance, GNSS-denied navigation performance, communications behavior, and other aircraft subsystems that are critical to mission success
• Standardize the team’s analysis methods across online tools, Jupyter notebooks, automated Python scripts, and legacy Matlab workflows
• Define best practices for analysis methods, data review, documentation, validation, reproducibility, and contribution workflows
• Build automated Python workflows that make high-value metrics easily accessible to engineering, production, quality, and leadership teams
• Partner with DevOps to build, deploy, maintain, and scale the infrastructure required for automated analysis pipelines and dashboards
• Work with Software, GNC, Embedded, Flight Test, Systems, Production, Quality, and Operations teams to define metrics that reflect aircraft performance and product health
• Support anomaly investigations, root-cause analysis, release readiness, production quality improvements, and customer-impacting fleet investigations with rigorous data analysis
• Mentor engineers on effective data analysis practices and raise the quality bar for data-driven engineering decisions across the V-BAT team

Requirements:

• 5+ years of relevant experience with a Bachelor's degree in Computer Science, Data Science, or a related technical field
• 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 working with large, messy datasets from deployed products, test events, simulations, production systems, or operational environments
• Ability to translate ambiguous engineering questions into structured analysis, sound conclusions, and clear recommendations
• Strong communication skills and the ability to influence cross-functional engineering, production, quality, and operations teams
• Experience with flight test data, aircraft telemetry, UAVs, robotics, autonomy, embedded systems, GNC, navigation systems, communications systems, or aerospace sensor suites
• Experience with Matlab, Jupyter, or similar analysis and visualization tools
• Experience building production-quality dashboards, automated reports, data products, or fleet-health monitoring systems
• Experience with databases, cloud storage, data lake architectures, time-series databases, telemetry systems, or data cataloging
• Experience with anomaly detection, trend analysis, statistical process control, reliability analysis, regression detection, or automated validation of complex systems