Location: 320 Front Street, Toronto, Ontario. In office (minimum three days per week; dependent on role)
Posting Type: This posting is for an existing vacancy, and we are actively accepting applications.
Expected Compensation: The starting salary range for this position is expected to be between $69,056 and $90,000; however, compensation will be determined based on experience.
Changing the world, one book at a time.
As a team of dedicated book-loving professionals, we discover, shape, and share content that nurtures thoughts, dreams, and conversations around the globe, ensuring that new and established voices are heard.
We’re looking for a curious, analytical, and impact-driven Data Scientist to join our insights & analytics team.
Do you love untangling difficult analytical questions? Are you excited to see complex analytical and data science projects from requirement gathering to product deployment? Are you passionate about books and reading, and curious about the opportunity to work for the largest publisher in Canada?
If so, consider joining Penguin Random House Canada on an exciting journey as we turn data into meaningful insights for our colleagues, customers, authors, and readers.
Your contribution to the story:
At Penguin Random House Canada, you’ll be part of a vibrant and growing company that is home to acclaimed authors such as Margaret Atwood, Cherie Dimaline, Chris Hadfield, Zadie Smith, Naomi Klein, Colson Whitehead, Salman Rushdie, Sarah Polley, Jody Wilson-Raybould, Emily Henry, Cormac McCarthy, Celeste Ng and John Irving, among many other brilliant writers.
The insights & analytics team strives to make Penguin Random House Canada the most data-driven book publisher in the industry, connecting our authors and books to as many readers as possible. We take advantage of a mature data warehouse, state-of-the-art cloud infrastructure, and reliable IT partners to deploy and maintain machine learning models that speak directly to our business needs. We use a modern tech stack to accelerate our work as much as possible without sacrificing quality.
Reporting to the Director of Data Science, you will work closely with the entire insights & analytics team to deliver impactful analysis, build predictive models, and develop self-serve tools that empower employees in all areas of our business to make informed decisions.
Design, build, test, and deploy machine learning models that generate practical recommendations and support business decision-making for key stakeholders.
Monitor production tools, models, and pipelines; identify performance issues; and recommend improvements to increase reliability, accuracy, and impact.
Analyze large and varied datasets to identify trends, patterns, risks, and opportunities that inform model development and business strategy.
Build dashboards, reports, and self-serve tools that make insights accessible, actionable, and easy to use across the business.
