Engineering Data Scientist

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

is hiring an Engineering Data Scientist for a Proprietary Program in Saint Louis, MO
. We seek passionate, curious, and talented data scientists who want their job to have real‑world impacts by solving complex, challenging, and meaningful data science problems. As a data scientist, you will play a crucial role in designing and leveraging digital data solutions in a distributed data system to maximize production and weapon system operational effectiveness. This position is onsite. The selected candidate will be required to perform work onsite at St Louis campus.

• Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
• Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision‑making.
• Implement and deploy machine learning models, 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.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Hazelwood, MO.

Travel may be required up to 10% of the time;
Domestically depending on business needs.

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.

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

• 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.
• Programming experience in one or more of the following:
  Python, Julia, R, C, C++, C#, Java.

• Advanced degree (Master’s or Doctorate) in Data Science, Applied Statistics, Computer Science, Mathematics, or another similar technical background.
• 1+ years of experience in natural language processing.
• 1+ years of experience in SQL or No
  
  SQL Database Languages.
• Proficient with data visualization tools.
• Proficient in deep learning frameworks such as PyTorch and Tensor Flow.
• Experience with generative AI models, including LLMs, for building knowledge‑driven solutions.
• Experience integrating models into customer environments, both on‑prem and in cloud environments.
• Experience working in an agile software development team.
• Experience with MLOps and MLOps tool stack such as Clear
  
  ML or MLFlow.
• Experience working in cloud computing environments such as Azure and AWS.

Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering…