Mid-Level Engineering Data Scientist

Join an exciting and growing team in performing complex analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics are used to turn that data into insights to improve performance, enable smarter services, increase productivity, and make flying safer. The Boeing Company is currently seeking a
** Mid-Level Engineering Data Scientist
** to join the Boeing Global Services (BGS) Government Services Analytics team located in
** Hazelwood, MO, Plano, TX, Ridley Park, PA, or Oklahoma City, OK.
** In this position you will work with an industry-leading team of data scientists, support US and international customers, and collaborate with engineering teams to create innovative health management solutions for government aircraft platforms.
* Apply advanced statistical techniques and predictive modeling to develop
* predictive maintenance
* strategies and optimize aircraft performance.
* Utilize
* natural language processing*, data cleansing, and preprocessing techniques to ensure data quality and integrity for accurate analysis and modeling.
* * Collaborate* with cross-functional teams to identify and define data requirements.
* Implement and
* deploy* machine learning models into production systems, working closely with software engineering teams to integrate into customer environments.
* Collaborate with
* subject matter experts
* to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.
* Ensure
* data security
* and compliance with relevant regulations throughout the data analysis lifecycle.
* * Communicate* findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.

Apply modern
* RAG* techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user 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
* 2+ years of professional experience in data science, artificial intelligence, or machine learning
* 2+ years of experience in Python for data science applications
* Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background
* 5+ years of related work experience or an equivalent combination of education and experience
* 2+ years of experience in natural language processing
* 2+ years of experience in SQL
* Proficient with data visualization tools, such as Tableau.
* Proficient in deep learning frameworks such as PyTorch and Tensor Flow
* Experience with generative AI models, including LLMs and RAG, for building knowledge-driven solutions.
* Engineering domain knowledge relating to aircraft maintenance, design, or testing
* Experience working in an agile software development team
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