Required/Minimum Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
- 1+ year(s) experience with common machine learning, deep learning frameworks like Pytorch/Tensorflow,or 1+ year(s) experience developing and deploying live production systems, as part of a product team.
Additional or Preferred Qualifications
- Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field and 5+ years related experience (e.g., statistics, predictive analytics, research)
- or Master's Degree in Computer Science, Electrical or Computer Engineering, or related field and 3+ years related experience (e.g., statistics, predictive analytics, research)
- or Doctorate in Computer Science, Electrical or Computer Engineering, or related field and 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- or equivalent experience.
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
- 1+ year(s) experience conducting research as part of a research program (in academic or industry settings).
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- Demonstrated experience with Microsoft cloud technologies (Azure Functions, Cosmos DB, Azure ML, Data Factory etc.)
Applied Sciences IC3 - The typical base pay range for this role across Canada is CAD $79,600 - CAD $153,000 per year.
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