Description
We are seeking an Experienced Data Scientist for a Proprietary Program in Saint Louis, MO. As an experienced/lead 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.
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.
- Mentor and provide guidance to junior data scientists.
Requirements:
- Bachelor of Science degree in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
- 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.
Preferred Qualifications:
- Advanced degree (Master's or Doctorate) in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
- 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.
Benefits:
- Competitive base pay and variable compensation opportunities.
- Health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs.
- Boeing 401(k) plan with dollar-for-dollar matching up to 10% of eligible pay.
- Student Loan Match program.
Salary Range: $128,350 - $173,650