Data Scientist, Data, Audience and Activation (French Services) (Telework/Hybrid)

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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.

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Why Join CBC/Radio-Canada

Digital is a key part of our present and our future. CBC/Radio-Canada’s strategy is focused on becoming the first organization to provide a digital platform that delivers unique content and experiences for our audiences, by telling stories that reflect who they are.

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.

About the Role

As a Data Scientist, you will apply machine learning models to solve complex business problems and work on cross-functional projects and/or models that benefit multiple internal stakeholders — including audience segmentations, predictive models, churn models and marketing mix models.

You will also establish advanced analytics best practices within the team and collaborate on the business rules that drive our stakeholder activation initiatives.

Key Responsibilities

In this role, you will support the strategic data analysis needs of Radio-Canada’s product, marketing and revenue teams. Your responsibilities will include:

• Identifying, cleaning, transforming and synthesizing large volumes of data within our Big Data environment or using our analytical tools.
• Helping verify and validate data to ensure input quality and model reliability.
• Contributing to the preparation, enrichment and transformation of user-level engagement data, and building scalable data processing pipelines with rigorous attention to detail at every stage of the process.
• Selecting and applying appropriate modelling techniques to achieve audience segmentation and customization goals.
• Leveraging machine learning models to automate solutions to complex challenges.
• Developing and implementing marketing attribution models (such as marketing mix modelling).
• Conducting content affinity analyses (e.g., market basket analysis) to uncover relationships between assets and build predictive content models.
• Leveraging artificial intelligence techniques to analyze complex data, generate predictions and enhance customization and automation capabilities.
• Partnering closely with the Big Data Development and Data Integration teams to define data collection strategies, implementation processes and routine data pipelines.
• Presenting analyses and insights to a diverse internal audience, including product managers, strategists, media line directors and marketing/communications managers.
• Establishing team-wide analytical best practices by designing technical templates and ad hoc documentation.
• Creating and maintaining Power Platform solutions (Power BI, Power Automate) to provide internal teams with self-service, automated access to model insights.
• Maintaining strong relationships with corporate clients by acting as an internal consultant.
• Monitoring changes in source data structures and analyzing their impact on existing models in your area.
• Ensuring strict adherence to privacy laws and policies.

Qualifications/Skills

• Minimum five years’ experience in a similar data science role.
• Graduate degree in a relevant field (business intelligence, economics, mathematics, statistics, IT, etc.).
• Good knowledge of statistics.
• Advanced proficiency in SQL and Python (pandas/PySpark).
• Familiarity with web analytics and A/B testing platforms (e.g., Google Analytics, Adobe Analytics).
• Deep understanding of marketing measurement (attribution, lift studies, etc.).
• Experience creating marketing mix models (MMM).
• Proficient knowledge of machine learning (experience using multiple advanced analysis techniques or machine learning algorithms).
• Experience using k-means clustering and SVM classifiers an asset.
• Knowledge of MLOps (MLFlow).
• Practical, hands-on experience working with GenAI models.
• Good knowledge of Power BI (visual design and DAX; PowerQuery/M an asset).
• Knowledge of data management platforms (DMP/CDP) and their APIs an asset.
• A proactive, consultative mindset when working with internal clients.
• Ability to explain statistical concepts to non-experts.
• Ability to work as a team player.
• Media industry experience an asset.
• Familiarity with CBC/Radio-Canada platforms and content an asset.
• Bilingualism (English/French) required.

Please note this is a 12-month contract position, renewable annually. This regular position is not a consulting assignment but a long-term opportunity with competitive CBC/Radio-Canada employee benefits.

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.

As part of our recruitment process, candidates who advance to the next

step will be asked to complete a background check. This includes:  

• A mandatory Criminal record check. 

• Other background checks may be conducted based on the operational requirements of the position.

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 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 [email protected].
 
You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our corporate website. 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. 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.

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