Senior Data Scientist

4 weeks ago

Ottawa, Ontario, Canada Boeing Full time
Job Summary

Boeing Vancouver is seeking a highly skilled Senior Data Scientist to join our 40-person integrated data science development team. This position will support our Richmond, British Columbia and Ottawa, Ontario office, and a Virtual work style is offered. Periodic travel to Richmond, BC and Ottawa, ON will be required to support project needs.

The successful candidate will empower Boeing's customer-facing software tools, products and services with cutting-edge analytics technologies. They will apply machine learning, statistics, and other analytics techniques to the unique challenges of aviation and aerospace. They will contribute their data science expertise to cross-functional project teams to help develop, launch and maintain leading-edge aviation software solutions around the world.

Key Responsibilities
  • Lead the development of complex analytic solutions to meet business objectives supporting engineering, maintenance or flight operations of different programs.
  • Develop and deploy analytics tools using techniques such as machine learning, statistical analysis, mathematical optimization and simulation.
  • Conduct evaluation, validation and continuous performance monitoring of supported applications, models and analyses.
  • Communicate with customers, product managers, industry partners and other stakeholders to understand requirements and communicate deliverables/results.
  • Champion a culture of excellence, learning, trust, and collaboration.
Requirements
  • 5+ years of experience in Data Science.
  • 3+ years of experience with Python.
  • 3+ years of experience with data querying (e.g. SQL).
  • Must be legally able to work in Canada.
  • Individual must not pose a risk for safeguarding of controlled goods.
  • Must be eligible to handle US export-controlled data.
  • Must be eligible for authorization under the Canadian Controlled Goods Program.
  • Must be able to obtain Canadian Secret Level II Security Clearance.
  • Must have experience writing code in a collaborative environment (e.g. using Git).
Preferred Qualifications
  • Domain knowledge of the aviation & aerospace industry.
  • Expertise in one or more of the following technologies.
  • Deep learning tools (e.g. TensorFlow, PyTorch, Keras, MLlib).
  • MLOps and CI/CD techniques and tools (e.g. GitLab CI, MLflow, TFX).
  • Large-scale data analysis technologies (e.g. Spark, Databricks, Delta).
  • Cloud technologies (e.g., Azure, Google Cloud).
  • Experience in production data and modeling pipeline development.
  • Experience in production analytics services deployment.
  • Experience presenting to non-technical audiences.
  • Project management experience (Agile, Kanban).
  • Expertise in applied Natural Language Processing.
  • Expertise in Predictive Maintenance.

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