Staff Engineer, Data Analysis (R5290)

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