Data Scientist
Kobo Inc.
Toronto

Kobo Inc is a global online book retailer with a passion
for making reading cool and work fun! We are seeking a self-motivated Data
Scientist to join our growing Product Analytics team. The ideal candidate has
a passion for predictive analytics and a desire to make an impact on a fast
growing business. The Data Scientist will work directly with business owners
to create custom models as well as design and evaluate AB tests in order to
optimize our e-commerce. The Data Scientist will also work closely with our
Big Ddata research team to ensure we are utilizing the latest and greatest
machine learning techniques in our modeling efforts.

  
Responsibilities:

  * Work with product managers and business owners to define best modeling projects
  * Extract, transform and load data from our big data warehouse to create custom mining views
  * Build predictive models using machine learning techniques such as decision trees, logistic regression and clustering
  * Communicate findings to business owners and work directly with them to implement results
  * Use appropriate statistical tools and techniques to answer pressing questions in regards to Kobo products and content sales
  * Design and evaluate AB tests
Qualifications:

  * Very strong SQL experience
  * Experience solving analytics problems using quantitative techniques
  * Minimum 2 years experience in data mining/predictive analytics
  * Expert knowledge of at least one statistical analysis tool such as R, SAS or Weka (R preferred)
  * Experience working with large datasets (knowledge of Map/Reduce, Hadoop and Hive is a plus)
  * Familiarity with scripting languages such as Ruby or Python
  * Ability to communicate sophisticated quantitative techniques in a simple and digestible manner suitable for business owners with little to no expertise in machine learning



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