![]() ![]() The first key decision Kobo made was to position itself as an international business, based in Toronto, Mr. Rakuten Kobo would like to thank all applicants for their interest.Kobo’s e-books and e-readers have been competing directly with Amazon’s Kindle and with Apple ever since Kobo was founded. Any information received related to accommodation needs of applicants will be addressed confidentially. Accessibility accommodations for candidates with disabilities participating in the selection process are available on request. Kobo is a part of the Rakuten group of companies. Kobo delivers the best digital reading experience through creative innovation, award-winning eReaders, and top-ranking mobile apps. is one of the most advanced global e-commerce companies, with the world’s most innovative eReading services offering more than 6 million eBooks and audiobooks to 30 million + customers in 190 countries. Owned by Tokyo-based Rakuten and headquartered in Toronto, Rakuten Kobo Inc. Free Kobo device + free weekly e-book or audiobook.Monthly commuting allowance and internet allowance.Full benefits starting from your first day.Flexible hours and remote working environment.Knowledge of data governance: legal requirements and best practices (GDPR, CCPA.Familiarity with the ebook, audiobook, or publishing industry.Knowledge of data engineering best practices. ![]() Hands on experience developing & deploying data pipelines.Hands on experience sharing self-serve data using tools like Tableau, Domo.An understanding of the machine learning lifecycle and suitable domains for its use.Hands on experience developing predictive models (decision trees, logistic regression, clustering.Experience writing maintainable, self-documenting code (revision control, appropriate use of modules/functions.Experience with data preprocessing and validation.2+ years experience with data manipulation ecosystems (R, Python/Pandas.2+ years experience with advanced SQL (Joins, CTEs, Windowing.Formal education in an analytic field of study or equivalent industry experience.You will have access to our data stack and analytic platform, regular communication from decision makers, and support from our engineering & data teams. You will also be called upon to help design tests & approaches that lead to measurable outcomes. In this role, you will have an opportunity to flex your ability to turn a large volume of structured and unstructured data into a story of performance that will allow Kobo to further succeed in its mission of making reading lives better. Responsibilities include proposing specific approaches, techniques, and models to deploy against both very directed and very ambiguous questions from our business stakeholders, hands on coding & data wrangling, working with technical teams to build and improve data pipelines, and presenting findings, outcomes, or next steps to stakeholders. ![]() Reporting to the Manager of Data Science & Analytics, you will bring your background and expertise of applying statistical modelling techniques in the context of e-commerce to assist Kobo with evaluating and improving our many consumer facing services & products. ![]() is seeking a Data Scientist to join our Big Data team. If you’re looking for a company that inspires passion, personal, and professional growth – join Kobo and come help us make reading lives better. We believe in rewarding all our employees with competitive salaries, performance based annual bonuses, stock options and training opportunities. We realize that for our people to be innovative, creative and passionate they need to feel valued and supported. Our employees rank us highly in terms of commitment to work/life balance. we offer a casual working start-up environment and a group of friendly and talented individuals. ![]()
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