Position Responsibilities:

• Development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers.
• Leverage AI-driven image processing & deep learning techniques to recognize classify & catalog vast amount of image & video data for multiple airplane, airspace & airport applications.
• Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products.
• Developing data visualization technique and implement data dashboards to enable interpretable representation of raw data as well as results of analysis. Programming in languages such Python and R as well as developing applications using tools such as Tableau, Power BI.
• Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintaining relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects.
• Help in the adoption of new tools and technology, perform Proof-of-concepts and help engagements implement & take it over.
• Documenting results of research and development projects, and provide inputs for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements.

Basic Qualifications (essential requirements a candidate MUST have to qualify for the position):

• Masters (minimum requirement) or PhD (desired) in Computer Science, Computer Engineering or related discipline.
• 7+ years of overall work experience in data analytics and machine learning algorithm development and testing.
• Excellent presentation & communication skills: Demonstrate strong written, oral, presentation and interpersonal communication skills. Be fluent in written and spoken English, and familiar with MS Office tools.
• Strong research background in innovating & developing technologies & solutions thru data science & analytics (desired).