Job Information
CBC/Radio-Canada Senior Data Scientist, Audience Activation (English Services) (Telework/Hybrid) in Toronto, Ontario
Position Title:
Senior Data Scientist, Audience Activation (English Services) (Telework/Hybrid)
Status of Employment:
Permanent
Position Language Requirement:
English
Language Skills:
English (Reading), English (Speaking), English (Writing)
Work at CBC/Radio-Canada
At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.
Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.
Unposting Date:
2024-09-19 11:59 PM
At the CBC, we all have a story to tell. What’s yours?
If you share our passion for Canadian storytelling and you wish to help us engage with individuals and communities across our various digital platforms, this is where you’ll want to be!
Every day, you will have an opportunity to shape the way in which Canadians see themselves reflected in our digital services. Your work will have a direct impact on how millions of Canadians from various communities connect with our products, with one another, and with the diverse voices that make our country so unique.
You will have the opportunity to play a part in enlightening and entertaining Canadians through our innovative work in building the mediums that deliver our content. We are an innovative hub, where the talented professionals we work with are respected and valued for their contributions. Our product teams are vibrant and our work culture strives to achieve the highest standards of diversity and inclusion. We believe that hiring people with different career paths and backgrounds is fundamental in our shared success and in building healthy and highly performant teams. When you join our mission, you are not only shaping the vision of the CBC, but the future of our country.
This is a hybrid position with a mix of in-office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines.
Why is this role important?
The Data Scientist drives strong partnerships between Data & Audience Activation, product teams and other analytics team partners. You will enable data-driven decision making for various business groups by crafting scalable business solutions for customer lifecycle management initiatives, identifying and classifying the next best user recommendation, and optimize full funnel communication.
We are in the midst of implementing a new CDP platform, and will be increasing business use of our existing DMP platform. Your work will have a direct impact on how millions of Canadians from various communities connect with our products, with one another, and with the diverse voices that make our country so unique.
We have rich digital data, cutting edge technology and are at the forefront of user insights business adoption.
Here’s why we should work together:
Our digital teams’ values - collaboration, learning, and continuous improvement - embody who we are as a people-focused, digital-forward employer. We follow lean startup principles and use an Agile approach. Our dedicated people managers work closely with every individual to ensure we are leveraging their strengths, championing their ideas and supporting their pursuit of new skills and their desired career progression.
Here at CBC Digital Strategy & Products, we want you to be happy and feel good at work. It is essential that work be a safe space where our employees are able to share their authentic selves with one another and to push each other to challenge conventions.
Perks you can look forward to:
Flexible work schedules, allowing you to prioritize yourself, your family and your work
Work from home opportunities
Competitive total rewards package
20% of time for innovation, learning and development; wherever your interests lie
Opportunities to work with cutting edge technology
Opportunities for continued learning and professional development
Opportunities to become a member of our Employee Resource Groups
Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent
A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected
A supportive management team committed to upholding the highest standards of diversity and inclusivity
An environment which favours experimentation and an iterative approach in order to achieve the highest form of technical innovation
How you will make an impact:
Proactively identify and champion projects that solve complex business problems across multiple domains (customer success, marketing, advertising).
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Build, validate, and deploy machine learning solutions that will help us better engage with Canadians (maximize ROI and advertising performance).
Research and identify new data sources.
Support initiatives for data integrity and normalization.
Help iterate on our machine learning infrastructure to ensure it continues to be robust and scalable.
Continuously pursue knowledge through build, measure, learn processes in an Agile environment and stay on top of the latest technology developments.
Utilize advanced problem-solving skills to navigate unstructured projects that may require innovative approaches while taking into consideration resources, timing and other constraints.
Visualize data. You have working knowledge of one more visualization tools: Tableau, Excel, Power BI etc. and have the ability to quickly learn new tools.
Who you are:
You are a Data Scientist. You have used an open source data set to post something to github, bitbucket, or an open source contribution. You are continuously seeking answers to satisfy your curious nature. You want to break open data and build meaningful models or solutions with it.
Possess a degree in Computer Science, Mathematics, Statistics or a related field or equivalent experience.
You have hands-on exposure to cloud computing and data engineering.
Hands-on experience with the principles of Design & Implementation of machine learning lifecycle
Have the ability to take an ambiguously defined task, and break it down into an insightful analysis
Have the ability to innovate custom algorithmic solutions to machine learning problems.
Have experience dealing with very large datasets and multiple data sources. You have hands-on experience with data wrangling using scripts.
Have experience in a high growth agile software development environment (Scrum or Kanban)
Technology Stack: Java, Jenkins, Google Cloud Platform, Python, Scala, Colab/Jupyter notebooks, NumPy, Pandas, Sckit-learn, Hadoop/MapReduce, GCP, Databricks and AWS, Adobe / Amplitude Analytics
Have experience with data visualization. You have working knowledge of one more visualization tools: Tableau, Excel, Power BI etc. and have the ability to quickly learn new tools.
Go Beyond. You are tenacious and enjoy solving a wide variety of problems – be it research, data wrangling, or data analysis – and possess the ability to think outside the box to reach solutions. You can switch contexts easily going from heads down research one day to data wrangling on another to building connectors on yet another.
Collaborate. You can work as part of the team, or work autonomously. You are adaptable, flexible, and able to adjust to a dynamic startup environment. Previous experience working at a startup environment is an asset
Evolve with us. The landscape is being built under our feet as we move forward, so we need people who can channel their passion, learn quickly, and navigate the unknown at top speed.
To Apply:
At the CBC, we recognize that not everyone takes the same path when it comes to building their skills. We value diversity of thought and of experience, and we are excited to hear from you! Hands-on experience, intelligence, innovation, a passion for learning, and a team-focused approach can combine to form the best set of qualifications. If you feel you meet most of the qualifications and you are excited by the possibility of adding to the rich culture of the CBC, take a chance and express your interest by applying now!
If you’re interested in reading more about the various backgrounds of the talented people that make up our teams, our exciting new projects, and what we’re currently working on, check out our Digital Labs (https://medium.com/cbc-digital-labs) blog on Medium!
Candidates may be subject to skills and knowledge testing.
We thank all applicants for their interest, but only candidates selected for an interview will be contacted.
CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity. That’s because we can only create and tell the stories that connect Canadians, by having a workforce that mirrors the ever-changing makeup of our country. That’s why we, as an employer, value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada’s public broadcaster. For more information, visit the Diversity and Inclusion section (http://cbc.radio-canada.ca/en/working-with-us/jobs/diversity-inclusion-cbc-rc) of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to recruitment@cbc.ca .
You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our corporate website (http://cbc.radio-canada.ca/en/vision/governance/corporate-policies/values-ethics/conduct) . All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on conflicts of interest (http://cbc.radio-canada.ca/en/vision/governance/corporate-policies/human-resources/conflicts) . In the event that you become an employee, it will be important to inform us, as quickly as possible, of any situation that, because of your hiring, constitutes or could appear to constitute a conflict of interest.
Primary Location:
Broadcast Centre 205 Wellington St. W., Toronto, Ontario, M5V 3G7
Number of Openings:
1
Work Schedule:
Full time
At CBC/Radio-Canada (http://cbc.radio-canada.ca/en) , we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.