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The Boeing Company is seeking a Mid-Level (Level 3) or Senior (Level 4) Aerospace System Safety Engineer – Data Scientist to join our organization onsite in Everett, WA or Seattle, WA. We are seeking passionate teammates to help us continue our mission to establish a safety engineering function across the company and develop enduring product safety design processes, practices, and solutions to assure the safety, quality, integrity, and mission success of our products and services. The Aerospace Safety Analytics team leverages in-service aviation data (trajectory/ADS‑B, Flight Management System (FMS) data, text-based reports, maintenance logs, and other sources) to monitor, assess, and drive improvements in the safety of Boeing products and operations. We develop analyses, models dashboards, and production data products to identify and track product and operational risks, quantify impacts and generate actionable recommendations that influence design, procedures, and operations.
Job Responsibility:
Conducts system research and analysis to identify potential or investigate reported in-service fleet hazards, risks, and safety concerns and quantifies impact.
Identifies safety and mission assurance issue systemic root causes and recommends corrective actions using industry best practices.
Collaborates with internal and external stakeholders to define, validate, and integrate safety, mission success, and airworthiness requirements
incorporates into designs, operations, and procedures.
Creates and maintains analytic tools and data-driven processes to asses safety risk and inform safety enhancement.
Documents safety analysis, hazard mitigation, validation and verification activities in compliance with relevant customer and regulatory safety standards.
Contributes to establishing global safety advocacy strategies, training, tools, and methods.
Ingests, cleans, fuses, and validates aviation data sources (e.g., ADS‑B, FMS, FOQA, maintenance logs, text reports).
Performs exploratory, statistical, and time/trajectory-based analyses to identify safety trends, anomalies, and risk drivers.
Develops, validates, and maintains analytics, models, and monitors (descriptive, diagnostic, predictive, or prescriptive) to quantify risk and measure mitigations.
Builds reusable data products and visualizations (dashboards, reports, alerts) to inform engineering, operations, and safety stakeholders.
Translates analytic results into clear safety findings, recommendations, and corrective action plans.
Communicates, collaborates, and presents to cross-functional teams.
Collaborates with data engineers, ML engineers, safety engineers, flight operations, and regulatory stakeholders to operationalize insights.
Requirements:
Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
Level 3: 5+ years of related work experience or an equivalent combination of education and experience
Level 4: 9+ years of related work experience or an equivalent combination of education and experience
2+ years of practical experience in the aviation and/or safety domain (e.g. pilot, air traffic controller, etc)
Ability to understand data concepts and drive and derive insights from data.
Knowledge of basic statistical concepts
Strong written and verbal communication skills
Ability to write concise safety findings and present to cross functional teams
Ability to work cross-functionally and manage multiple priorities
5+ years of experience working with real world data
Nice to have:
Experience with at least one data manipulations and analysis language (SQL, R, Python)
Experience with data visualization and dashboards
Experience in commercial aviation safety and experience with aviation data
Experience Designing and/or building statistical, mathematical, or machine learning models to derive descriptive and predictive insights from data
Experience in systems design and/or systems analysis and/or systems integration
Systems Engineering experience in fundamentals including: requirements validation/verification, functional integration, NxN, Phase A/B/C, and Concept of Operations
Experience working with Agile methodologies
Experience leading cross functional teams and complex projects
Experience working effectively with engineering teams
What we offer:
Generous company match to your 401(k).
Industry-leading tuition assistance program pays your institution directly.
Fertility, adoption, and surrogacy benefits.
Up to $10,000 gift match when you support your favorite nonprofit organizations.