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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 a Senior 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 an Senior 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
Provide technical leadership to team of data scientists
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
Contribute to the development of best practices and standards for data science within the organization.
Requirements:
Bachelor’s degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline
9 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:
Competitive base pay and variable compensation opportunities
Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid and unpaid time away from work
Generous company match to your 401(k)
Industry-leading tuition assistance program
Fertility, adoption, and surrogacy benefits
Up to $10,000 gift match for nonprofit organizations