Role Overview
Boeing is hiring a Mid-Level or Senior Engineering Data Scientist. This is a full-time role in Everett, Washington. Part of Boeing's Risk hiring, posted 6 days ago. The posted range is $138k to $186k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
This role offers $138k-$186k. The median for Senior-level Risk roles is $98k-$145k (based on 64 listings). 33% above median.
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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) Engineering Data Scientist to join our organization onsite in Everett, WA or Seattle, WA. This role will work in the Aerospace Safety Analytics team and support the Chief Aerospace Safety Office (CASO)
The team consists primarily of safety and airworthiness engineers and data scientists that work cross-functionally to leverage data to generate and communicate actionable safety insights to drive risk-based decisions for internal and external stakeholders. This role will collaborate and interface with a variety of partners and stakeholders to derive and deliver meaningful and impactful data-driven insight that improve the safety of Boeing aircraft. This position will be expected to lead and execute analytic and data-driven activities including conducting analyses and/or build data-driven tools and products to monitor, assess, and predict safety risks in the design and operation of Boeing aircraft. This work will include leveraging a variety of aviation data sources to conduct descriptive and predictive analyses, model development and validation, data visualization and reporting, and communications of insights and recommendations to stakeholders to enhance safety.
Primary responsibilities
- Design, develop, validate, and maintain descriptive, diagnostic, predictive, and prescriptive models that quantify risk, identify anomalies, and support safety strategy.
- Perform exploratory, statistical, and time/trajectory-based analyses to surface safety trends, root causes, and risk drivers.
- Build reusable data products, APIs, dashboards, and monitoring systems that operationalize analytic insights for engineering, flight operations, and safety teams.
- Translate analytic results into clear findings, technical reports, and actionable recommendations for cross-functional stakeholders.
- Ingest, clean, fuse, and validate large and diverse aviation datasets (Automatic Dependent Surveillance-Broadcast [ADS-B], FDM [Flight Data Monitoring], flight alerts, text reports, etc.) and build robust ETL/ELT pipelines.
- Drive best practices for reproducible analysis, model governance, documentation, and first-time quality.
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
- Excellent written/verbal communication skills
- Experience leading or managing projects that involved cross-functional or cross-business unit teams
- 4+ years of experience in programming languages such as JavaScript, C#, Python, SQL, etc.
- Experience developing the visual design, branding and data visualizations to produce modern, compelling products
- 4+ years of experience designing and creating new algorithms for the analysis of data to address project requirements, evaluate performance of data analysis algorithms and select and apply algorithms to meet application requirements
Preferred Qualifications (Desired Skills and Experience):
- Experience in aviation or aviation related activities
- Experience in applying statistical concepts
- Experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures
- Experience with Agile and Scalable Agile methodologies
- Experience applying machine learning or data mining techniques to sensor or temporal data
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): $137,700 - $186,300
- Senior (Level 4): $173,400 - $234,600
Applications for this position will be accepted until Jul. 01, 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
Contingent Upon Program Reward
The position is contingent upon program award
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.
About Boeing
Boeing
boeing.com
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Frequently Asked Questions
How do I apply for the Mid-Level or Senior Engineering Data Scientist position at Boeing?
Use the Apply button above to submit your application directly to Boeing. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Mid-Level or Senior Engineering Data Scientist position at Boeing located?
This position is based in Everett, Washington. Boeing has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Mid-Level or Senior Engineering Data Scientist role at Boeing pay?
Boeing has posted a compensation range of $138k to $186k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Mid-Level or Senior Engineering Data Scientist role at Boeing posted?
This role was posted on June 25, 2026 (6 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Mid-Level or Senior Engineering Data Scientist role at Boeing require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Boeing lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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