Mid-Level or Senior Engineering Data Scientist

Boeing • Everett, WA

1d • Onsite

About The Position

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.

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
• 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

Nice To Haves

• 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

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees