Mid-Level Engineering Data Scientist

Boeing•Hazelwood, MO

1d•Onsite

About The Position

The Boeing Company is seeking a Mid-Level Engineering Data Scientist to join the Boeing Global Services (BGS) Government Services Analytics team. This role involves performing complex analysis of aviation data to improve performance, enable smarter services, increase productivity, and enhance flying safety. You will work with a team of data scientists, support US and international customers, and collaborate with engineering teams to create innovative health management solutions for government aircraft platforms. As a mid-level data scientist, you will create new analytics models for aftermarket services for military customers, analyze data, and apply machine learning and AI techniques to provide valuable insights for aircraft health management. The ideal candidate is resourceful, self-driven, outcome-oriented, and possesses strong collaboration and communication skills. Knowledge in machine learning, natural language processing (NLP), and retrieval augmented generation (RAG), with a track record of deploying ML models in production, is highly desired.

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
2+ years of professional experience in data science, artificial intelligence, or machine learning
2+ years of experience in Python for data science applications
Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Nice To Haves

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 TensorFlow
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

Responsibilities

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.
Apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience.
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.