Job Description

Mid-Level or Senior Engineering Data Scientist

Company:

The Boeing Company

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.

Pay Range

• Mid-Level (Level 3): $137,700 - $186,300
• Senior (Level 4): $173,400 - $234,600

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

The position is 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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