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Company | Boeing |
Address | Richmond, British Columbia, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Defense and Space Manufacturing,Aviation and Aerospace Component Manufacturing,Airlines and Aviation |
Expires | 2023-08-19 |
Posted at | 9 months ago |
- Consult in the selection and independently execute on the application of machine learning and analytical techniques, aligned with technical strategy set by Data Science Project Lead and Principal Data Scientist.
- Develop production-level analytics tools for internal and external, customer-facing applications including data transformation pipelines, model training pipelines, model inference and monitoring
- Conduct evaluation, validation and continuous performance monitoring of supported applications, models and analysis
- Deliver on data science tasks in one or more cross-functional development teams supporting both pathfinding and production software development
- Champion a culture of excellence, learning, trust, and collaboration
- Communicate with customers, product managers and other stakeholders to understand requirements, execute the analytics development efforts and communicate results and deliverables
- 1+ years’ experience with SQL
- 3+ years’ experience with Python
- Must be eligible to handle US export-controlled data
- Individual must not pose a risk for safeguarding of controlled goods
- 3+ years’ experience in Data Science
- Must have experience writing code in a collaborative environment using Git
- Must be legally able to work in Canada
- Expertise in reinforcement learning, or explainable AI
- MLOps and CI/CD techniques and tools (e.g. GitLab CI, MLflow, TFX)
- 5+ years’ experience in Data Science
- Large-scale data analysis technologies (e.g., Spark, Databricks, Delta)
- Experience in production analytics services deployment
- Deep learning tools (e.g. TensorFlow, PyTorch, Keras, MLlib)
- Expertise in one or more of the following technologies
- Experience in production data and modeling pipeline development
- Cloud technologies (e.g., Azure, Google Cloud)
- Project management experience (Agile, Kanban) is an asset
- Domain knowledge of the aviation & aerospace industry
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