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Data Scientist

Michael Page CA

This is a Contract position in Toronto, ON posted October 9, 2019.

You will help the team to improve upon current methods and models.

With a practical mindset, you will bring these models into a production environment.

Your software development experience will allow you to closely collaborate with our Engineering team to improve our models and push them through our release process.

Depending on your domain of expertise: You will work with big data (GPS fixes and sensor data) from hundreds of thousands of users.

You will train algorithms related to activity detection (type of transports, home/work location, etc.) and human behavior (commuting, sporting, shopping, etc.).

You will create machine learning pipelines capable of extracting insights from social interactions between users on our platforms You will design context-aware recommender systems Desired skills and expertise You have a masters degree or PhD in computer science or a related field.

You are fluent in Python programming and its machine learning stack You are an expert in machine learning and data modeling.

You have knowledge/experience with software engineering and deployment to production You have experience with at least one of the fields listed above.

You possess a deep understanding of clustering, manifold learning and predictive modeling techniques.

You can use big data tools such as Spark for development You can work independently and take matters into your own hands.

Experience with any of the following is considered a plus: Sensor data modeling from mobile devices or wearables Data engineering technologies (Spark, Kafka, database,) Java Mobile programming (Android or iOS) Our client is one of the leading organizations in the Data science and IOT space.

It is global organization, and is growing exponentially since past few years.

To fuel its growth further, it’s looking for a Data Scientist based out of its office in Toronto, Canada.

In addition to a competitive package, you will be a part of one of the most renowned organizations