Data Scientist

Hybrid in Vancouver

• Work closely with other data scientists and developers in building and deploying various machine learning models
• Execute all steps in the data science process from understanding business requirements to deploying models
• Produce reports detailing model performance
• Take initiative to 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
• Contribute to knowledge-sharing activities with colleagues
• Mentor junior and intermediate data scientists via pairing and reviews

Required Skills

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

Preferred Skills

• MSc in a STEM or Linguistics subject (considered 1 additional year of experience)
• PhD in a STEM or Linguistics subject (considered 2 additional years of experience)
• Data collection and cleaning experience
• Data engineering skills
• Experience with:
• Acoustic or language models for speech recognition
• Natural language processing models
• Large language models
• Kubernetes and microservices
• Working in an agile development environment