Mid-Level or Senior Aerospace Systems Safety Engineer – Data Scientist
Company: Boeing
Location: Everett
Posted on: February 10, 2026
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Job Description:
Job Description At Boeing, we innovate and collaborate to make
the world a better place. We’re committed to fostering an
environment for every teammate that’s welcoming, respectful and
inclusive, with great opportunity for professional growth. Find
your future with us. 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 Applications for
this position will be accepted until Feb. 19, 2026 Export Control
Requirements: 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. Export Control
Details: US based job, US Person required Education Bachelor's
Degree or Equivalent Required Relocation This position offers
relocation based on candidate eligibility. Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift This position is for 1st shift Equal Opportunity Employer:
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.
Keywords: Boeing, Edmonds , Mid-Level or Senior Aerospace Systems Safety Engineer – Data Scientist, Engineering , Everett, Washington