Mid-Level Engineering Data Scientist

Boeing • Hazelwood, MO

1d • Onsite

About The Position

We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld 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. As a mid-level data scientist, you will play a crucial role in creating new analytics models that provide aftermarket services for our military customers. Your primary responsibility will be analyzing data and applying machine learning and AI techniques to empower users with valuable insights to improve aircraft health management. This role requires a resourceful, self-driven, outcome-oriented individual with the ability to collaborate respectfully and communicate effectively. The ideal candidate will have knowledge and work history in machine learning, natural language processing (NLP), and retrieval augmented generation (RAG), and a successful track record of deploying machine learning models in a production environment. This position is onsite. The selected candidate will be required to perform work onsite at one of the listed location options.

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
• To be considered for this position you will be required to complete a technical assessment as part of the selection process.
• This position requires the 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.
• Employer will not sponsor applicants for employment visa status.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level