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Machine Learning Scientist

Machine Learning Data Scientist is looking for an experienced machine learning researchers to drive the research and development of statistical and machine learning models that power our AI platform. This is a unique opportunity to join a fast growing team of creative and passionate individuals committed to bringing machine learning into the enterprise.

What you’ll be doing:

  • Work with business stakeholders and product manager to translate product requirements into machine learning research and development activities
  • Work with architects and data engineers to gather and clean customer data
  • Conduct statistical inference and unsupervised machine learning to discover trends and correlations
  • Research, develop, and validate models to generate recommendations, alerts, and other customer insights
  • Research, develop, and validate models to automate customer-facing business processes
  • Perform feature engineering and selection to support machine learning
  • Work with architects, data and quality assurance engineers to develop processes, monitoring, and testing automation frameworks to ensure data, insight, and model quality
  • Work with architects and engineers on the delivery of analytical insights into product
  • Document, communicate, and educate customers on product capabilities powered by statistical analysis and machine learning

Your background:

You have 5+ years of hands-on machine learning experience, ideally in a high growth software development environment. You have a PhD or Master’s Degree in Machine Learning, Applied Statistics, Operations Research, or a related quantitative discipline. You have a deep understanding of statistical modeling and machine learning. You’re passionate about deriving insights from large datasets and you can communicate that passion to product managers and engineers. You have experience in the use of statistical analysis and machine learning tools, packages and languages such as Python scikit, R, Spark MLlib, SAS, TensorFlow, or MXNet. You have knowledge of SQL databases, NoSQL, and Hadoop environments.

About Us:

At, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make customer interactions more natural and valuable. Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the centre of an exciting AI ecosystem.


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