Staff Data Analytics Engineer — Aerospace Fleet Insights

Shield AI; Boston (MA); On-site; USD 150,000 - 220,000; Full time

Job summary

Shield AI is seeking a Staff Engineer to lead V‑BAT fleet data analysis, owning analysis pipelines and tooling to transform flight, test, and production data into actionable insights.

You will mentor engineers, standardize analysis methods, and partner with DevOps to scale automated dashboards and data products for engineering, production, and leadership teams in a fast‑paced defense‑tech environment.

Qualifications

• 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.

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.

Skills

Python data analysis

Data analysis tooling

Data pipelines

Large datasets

Cross-functional communication

Mentoring

Education

Bachelor’s degree in CS/Data Science/related field

Tools

Matlab

Jupyter

Job description

Shield AI is seeking a Staff Engineer to lead V‑BAT fleet data analysis, owning analysis pipelines and tooling to transform flight, test, and production data into actionable insights.

You will mentor engineers, standardize analysis methods, and partner with DevOps to scale automated dashboards and data products for engineering, production, and leadership teams in a fast‑paced defense‑tech environment.