Data Scientist

Data Scientist

The salary range for this position begins at $70,000 and will be determined based on experience and qualifications. 

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 both new and established voices are heard. 

We are looking for a Data Scientist to join our team. 

Do you love untangling difficult problems? Are you excited to see complex analytical and data science projects through from requirement gathering to product deployment? Are you passionate about books and reading, and intrigued by the opportunity to work for the largest publisher in Canada? If so, consider joining us on an exciting journey as we write new chapters of Penguin Random House Canada’s culture and employee experience story together. 

Your contribution to the story:  

At Penguin Random House Canada, we strive to be the most data-driven publisher, connecting our authors and books to more readers than any other publisher. Reporting to the Director of Data Science, you will work closely with the Insights & Analytics team to deliver rigorous analysis and develop self-serve tools that empower employees in all areas of our business to make informed decisions. 

What you’ll do:  

• Employ analytical techniques and machine learning algorithms to draw conclusions from complex data sets. 

• Design, build, and deploy dashboards and self-serve tools that communicate actionable insights to business stakeholders. 

• Maintain production tools and pipelines, identifying lapses in performance and opportunities for improvement. 

• Communicate analysis and results clearly and persuasively to a variety of diverse audiences. 

• Collaborate with colleagues from other Penguin Random House territories to share ideas, projects, and solutions.  

Experience and knowledge you’ll bring (qualifications): 

Required: 

• 3+ years of professional experience in a data science role. 

• Undergraduate or graduate degree in a quantitative discipline such as Statistics, Economics, Engineering, Computer Science, or equivalent experience. 

• Demonstrated proficiency using R and/or Python for data analysis and/or data science, including writing production-quality code. 

• Demonstrated proficiency using SQL to interrogate large and complex data sets. 

• Demonstrated ability to deliver analytical and/or data science products that meet stakeholder needs. 

• Ability to map real-world problems to relevant analytical and machine learning techniques. 

• Ability and willingness to clean and synthesize data sources of varying quality. 

• Demonstrated ability to learn quickly and thrive in a complex and ever-evolving environment. 

• Excellent relationship management skills, supported by strong communication and presentation skills. 

• Strong information design skills. 

• Strong organizational and prioritization skills with an ability to effectively manage multiple tasks and projects with competing deadlines. 

• A proactive, analytical, and collaborative approach to problem solving. 

• An inclusive approach, supported by a cultural competency and a proven ability to collaborate with people from a wide range of diverse backgrounds. 

• And of course, a love for books! 

Optional: 

• Experience developing advanced pricing solutions would be a significant asset. 

• Experience using cloud platforms (e.g. AWS) for machine learning development. 

• Experience with containerization and container orchestration (e.g. Docker, Kubernetes). 

• Experience building self-serve tools using R/Python extensions (e.g. Shiny). 

• Knowledge of the Linux command line and shell scripting. 

• Enhanced knowledge, awareness, and experience with the culture and history of any community that has faced marginalization is considered a plus. 

We are actively seeking to add team members from communities with lived experiences of marginalization and underrepresentation. We respect and value each individual and their lived experiences and are committed to creating a more diverse team and establishing a culture of belonging. If you self-identify as Black, Indigenous, a person of colour, a member of the LGBTQIA2S+ community or another marginalized group, we strongly encourage you to apply. 

This role will work at least three days per week from our Toronto office located at 320 Front Street West. As such, we require candidates to reside within commuting distance of our office. 

To apply, please submit a cover letter and resume by 12pm EST on Sunday, January 5, 2025.  We appreciate the interest of all applicants; however, only those candidates selected for an interview will be contacted. 

Penguin Random House Canada will be closed for the holiday season from December 25, 2024, to January 1, 2025. We appreciate the time you’ve taken to submit your application, and successful applicants will be contacted after we return to the office on January 2, 2025. 

Please contact Human Resources at hrcanada@penguinrandomhouse.com or 416-364-4449 if you need accommodation at any stage of the application process or want more information on our accommodation policies.  

Company: Penguin Random House Canada Limited 

Country: Canada 

State/Region: Ontario 

City: Toronto 

Postal Code: M5V 2B6 

Job ID: 273825