Mid-Level or Senior Aerospace Systems Safety Engineer – Data Scientist - USA - Everett, WA

Mid-Level or Senior Aerospace Systems Safety Engineer – Data ScientistCompany: · The Boeing CompanyThe 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, ...

Job description

Mid-Level or Senior Aerospace Systems Safety Engineer – Data Scientist

Company:

The Boeing Company

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. Our objectives are supported by a collaborative environment defined by exceptional teamwork, inclusiveness, and a passion for leading with speed, agility and creativity.

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. 

We are hiring a flexible individual to support this mission by analyzing and interpreting aviation data and/or building data products and tools that surface safety insights for stakeholders. Candidates may come from a stronger data-science background, a stronger aerospace/operations/engineering background, or a hybrid of both. The role will contribute to ingestion and processing of multiple aviation data sources, exploratory and inferential analysis, model development or validation, visualization and reporting, and communications to safety stakeholders (engineers, flight operations, program teams, regulators). 

Primary responsibilities:

• 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.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Basic Qualifications (Required Skills and Experience):

• 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, et)
• 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

Preferred Qualifications (Desired Skills and Experience):

• 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

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range:

• Mid-Level (Level 3): $114,750 - $155,250
• Senior (Level 4): $141,100 - $190,900

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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