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Senior Data Scientist

2 months ago

Vancouver British Columbia, British Columbia, Canada Visionaire Partners Full time

Senior Data Scientist

This is a tremendous opportunity for a Senior Data Scientist to join a dynamic technology company developing innovative AI solutions to automate business processes.

RESPONSIBILITIES:

  • Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks.
  • Conduct and validate model performance through comprehensive evaluation metrics.
  • Analyze large datasets to extract actionable insights and trends.
  • Implement machine learning models into production environments, ensuring scalability and reliability.
  • Monitor and maintain deployed models' performance, making necessary updates and improvements.
  • Work closely with the data engineer and Principal ML engineer.
  • Stay updated with the latest advancements in machine learning, AI, and data science.

This opportunity is a direct hire position in Vancouver. We may also consider candidates working out of our Kitchener office. You can usually work remotely and only need to come into the office for important team meetings. This is an exciting opportunity to work on innovative AI automation projects at a growing technology firm.


REQUIRED SKILLS:

  • 3+ years of experience as a Data Scientist.
  • Experience implementing scalable ML systems into a production environment.
  • Experience in all parts of the lifecycle of ML projects, including initial conceptualization, data handling, model development, and deployment.
  • Python development experience, including developing APIs using tools such as FastAPI.
  • Experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, Scikit-Learn, etc.)
  • Knowledge of database technologies (such as SQL, MongoDB, Databricks) and data pipeline tools.
  • Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation.
  • Familiar with cloud platforms (such as AWS, GCP, Azure) and containerization (Docker or Kubernetes).