Senior Data Scientist

Boeing Boeing · Aerospace · Hazelwood, MO

Senior Data Scientist role at Boeing Defense, Space & Security focused on leveraging digital data solutions and deploying machine learning models for production and weapon system operational effectiveness. Requires experience with generative AI, LLMs, and integrating models into customer environments, with a focus on defense applications.

What you'd actually do

  1. Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments.
  2. Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making
  3. Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.
  4. Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.
  5. Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.

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

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 statemen
  • 3+ years of experience in natural language processing
  • 3+ 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

  • Requires an active U.S. Secret Security Clearance
  • 9 years of professional experience in data science, artificial intelligence, or machine learning
  • Experience leading technical teams or projects

Other signals

  • Implement and deploy machine learning models
  • Experience with generative AI models, including LLMs, for building knowledge-driven solutions
  • Experience integrating models into customer environments