Job description

Data Scientist


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 respect and value each individual and their lived experiences and commit 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 part of another marginalized group, we strongly encourage you to apply.


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 different 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

  • 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 to your work, supported by cultural competency and a proven ability to collaborate with people from across a wide range of diverse backgrounds across all levels of a company.

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


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 currently working in a hybrid work model. This role can be performed remotely; however, we will show preference to candidates located within commuting distance of Toronto. Our office is open and employees are welcome to utilize the facilities as needed.


Interested candidates should apply with their cover letter and resume by July 31, 2022.


We appreciate the interest of all applicants; however, only those candidates selected for an interview will be contacted.


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: 236322

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