Salary
💰 CA$180,000 - CA$230,000 per year
Tech Stack
CloudGoogle Cloud PlatformLinuxNoSQLNumpyPandasPythonPyTorchShell ScriptingSparkSQLTensorflow
About the role
- Design and deploy machine learning algorithms for e-commerce, consumer trends, markets, logistics, and new products
- Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc
- Work with large unstructured data
- Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users
- Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies used by the team
- Provide thought leadership through high quality write-ups, reviews, and a strong vision grounded in practical experience
Requirements
- Strong machine learning skills.
- Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
- Data Engineering skills and large data experience (TB) in production; built data pipelines using tools e.g. Spark
- 10+ years of hands-on experience shipping models to production across problem spaces (user modeling, spam classification, prediction, clustering, etc)
- MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience
- Strong software engineering and coding skills with the ability to write production quality code
- Strong understanding of probability & statistics, machine learning, and algorithms
- Experience with SQL and NoSQL databases
- Experience working with Linux, shell scripting
- Previous startup experience strongly preferred