The Boeing Company
Aerospace
Mid-LevelorSeniorEngineeringDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Mid-Level or Senior Engineering Data Scientist at The Boeing Company. Skills: Data Science, Machine Learning, Data Visualization, Risk Quantification. Design, develop, validate, and maintain models. Perform exploratory, statistical, and time/trajectory-based analyses”
What You'll Achieve.
Improve the safety of Boeing aircraft; Quantify risk; Support safety strategy; Enhance safety
Industry & Context.
Identify anomalies; Surface safety trends; Identify root causes; Identify risk drivers; Address project requirements; Evaluate performance of data analysis algorithms
100% onsite, U. S. Person as defined by 22 C. F. R. §120.62 required, Contingent upon program award
What They're Looking For.
Must Have
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, 5+ years of related work experience or an equivalent combination of education and experience, 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 Have
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
What You'll Do.
and time/trajectory-based analyses
Build reusable data products
and monitoring systems
Translate analytic results into clear findings
and validate large and diverse aviation datasets
Build robust ETL/ELT pipelines
Drive best practices for reproducible analysis
How You'll Work.
Team & Collaboration
Collaborate and interface with a variety of partners and stakeholders; Work cross-functionally to leverage data; Communicate actionable safety insights to drive risk-based decisions; Deliver meaningful and impactful data-driven insight; Operationalize analytic insights for engineering, flight operations, and safety teams; Actionable recommendations for cross-functional stakeholders
Communication Scope
Excellent written/verbal communication skills; Communications of insights and recommendations to stakeholders
Process & Methodology
Experience leading or managing projects that involved cross-functional or cross-business unit teams
Full 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
Applying for this Mid-Level or Senior Engineering Data Scientist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about The Boeing Company?
Real rants from real employees. Read before you apply.