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

CBC/Radio-Canada•Montreal, QC

1d•Hybrid

About The Position

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. This role supports the strategic data analysis needs of Radio-Canada’s product, marketing and revenue teams.

Requirements

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.
Bilingualism (English/French) required.

Nice To Haves

Media industry experience an asset.
Familiarity with CBC/Radio-Canada platforms and content an asset.

Responsibilities

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.