Associate Engineering Data Scientist

Boeing Boeing · Aerospace · Hazelwood, MO

Associate Engineering Data Scientist role at Boeing Defense, Space & Security focused on designing and leveraging digital data solutions to improve production and weapon system operational effectiveness. Responsibilities include data requirements, analysis, implementing and deploying ML models, and ensuring data security and compliance.

What you'd actually do

  1. Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
  2. Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making
  3. Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments.
  4. Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.
  5. Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.

Skills

Required

  • 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.

Nice to have

  • Advanced degree (Master's or Doctorate) 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
  • 1+ years of experience in natural language processing
  • 1+ years of experience in SQL or NoSQL Database Languages
  • Proficient with data visualization tools
  • Proficient in deep learning frameworks such as PyTorch and TensorFlow
  • 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 ClearML or MLFlow
  • Experience working in cloud computing environments such as Azure and AWS

What the JD emphasized

  • active U.S. Secret Security Clearance
  • technical assessment

Other signals

  • implement and deploy machine learning models
  • integrate into customer environments
  • evaluate and improve existing models and algorithms