Data Scientist

Description

 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