Associate Engineering Data Scientist

Boeing•Hazelwood, MO

2d•$102,000 - $138,000•Onsite

About The Position

Boeing Defense, Space & Security (BDS) is hiring an Associate 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.

Requirements

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.
This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active).
Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Nice To Haves

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

Responsibilities

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.