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Data Scientist for AI and Machine Learning Solutions

1 month ago


Vancouver, British Columbia, Canada GlobalRelay Full time
Job Description

We are seeking a Senior Data Scientist to build artificial intelligence and machine learning solutions for our customers. As part of a small, agile team, you will apply various models to large electronic communication archives to classify and understand communication content.

Key Responsibilities:

  • Work closely with data scientists and developers to design and deploy machine learning models
  • Execute the entire data science process from understanding business requirements to deploying models
  • Identify and solve important problems, coordinating with others on cross-cutting technical issues
  • Participate in design review, code review, sprint planning, and other Agile artifacts
  • Collaborate with Product Management on user story generation and refinement
  • Mentor junior and intermediate data scientists via pairing and reviews

About You:

  • 5+ years of experience solving machine learning problems
  • BSc in STEM or Linguistics or equivalent work experience
  • Experience working with large datasets in an enterprise-wide application environment
  • Proficiency in Python and Bash
  • Familiarity with common machine learning libraries like PyTorch, Sklearn, TensorFlow, and TensorRT
  • Experience mentoring junior and intermediate data scientists
  • Strong organizational and communication skills

Nice-to-Haves:

  • MSc or PhD in STEM or Linguistics (considered additional experience)
  • Data collection and cleaning experience
  • Experience with acoustic or language models for speech recognition, natural language processing models, large language models, Kubernetes, and microservices

Compensation and Benefits:

This role offers a competitive annual base salary range of $120,000 - $130,000 CAD, plus a corporate bonus, extended health benefits, RRSP Matching, and a commission structure for Sales roles.

We offer a hybrid work model that balances collaboration with the team in the office and focused time from home. Our company values diversity, equity, and inclusion.