The Boeing Company
Aerospace
MidLevelorSeniorEngineeringDataScientist
“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
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