Engineering Data Scientist

Boeing • Hazelwood, MO

1d • $106,250 - $180,550 • Onsite

About The Position

Engineering Data Scientist Company: The Boeing Company 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 an Experienced/Lead Engineering Data Scientist to join the Boeing Global Services (BGS) Government Services Analytics team located in Hazelwood, MO, Colorado Springs, CO, 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 an experienced/lead 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 leading the design and development of machine learning models using a wide array of methods to empower aircraft users with valuable insights. This role requires a resourceful, self-driven, outcome-oriented individual with the ability to collaborate respectfully and communicate effectively. The ideal candidate will have advanced knowledge and work history in machine learning, natural language processing (NLP), and retrieval augmented generation (RAG), proven experience in leading data science projects, 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’s degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline
• 5+ years of professional experience in data science, artificial intelligence, or machine learning
• 5+ years of experience in Python for data science applications
• Experience leading technical teams or projects
• This position requires the ability to obtain a SECRET US Security Clearance Post-Start for which the US Government requires US Citizenship.
• To be considered for this position you will be required to complete a technical assessment as part of the selection process.

Nice To Haves

• Advanced degree ( Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background
• 10+ years of professional experience in data science, artificial intelligence, or machine learning
• 3+ years of experience in natural language processing
• 3+ 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 integrating models into customer environments, both on-prem and in cloud environments
• Experience working in an agile software development team

Responsibilities

• Lead the design and development of advanced machine learning models and algorithms to solve complex problems as aftermarket services for military customers.
• Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
• Conduct data analysis and exploration to identify patterns, trends, and insights that drive decision-making and improve aircraft health management.
• 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.
• Evaluate and apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience.
• 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.
• Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.
• Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.
• Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.
• Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.
• Mentor and provide guidance to junior data scientists and contribute to the development of best practices and standards for data science within the organization.

Benefits

• Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
• The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees