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Experienced Data Scientist

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Boeing

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Location:
United States , Hazelwood, St Louis

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

113900.00 - 154100.00 USD / Year
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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. Boeing Defense, Space & Security (BDS) is hiring an ExperiencedData 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 an experienced 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.

Job Responsibility:

  • 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
  • Mentor and provide guidance to junior data scientists

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
  • Programming experience in one or more of the following: Python, Julia, R, C, C++, C#, Java
  • Experience leading technical teams or projects
  • Active U.S. Secret Security Clearance (U.S. Citizenship Required)
  • U.S. Person as defined by 22 C.F.R. §120.62

Nice to have:

  • Advanced degree (Master's or Doctorate) in Data Science, Applied Statistics, Computer Science, Mathematics, or another similar technical background
  • 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 we offer:
  • Generous company match to your 401(k)
  • Industry-leading tuition assistance program pays your institution directly
  • Fertility, adoption, and surrogacy benefits
  • Up to $10,000 gift match when you support your favorite nonprofit organizations
  • Health insurance
  • Flexible spending accounts
  • Health savings accounts
  • Retirement savings plans
  • Life and disability insurance programs
  • Programs that provide for both paid and unpaid time away from work
  • Relocation based on candidate eligibility

Additional Information:

Job Posted:
December 26, 2025

Expiration:
December 31, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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