Data Scientist developing machine - learning models for The Athletic’s sports media platform. Optimizing subscriptions, workflows, experiments, and personalized article recommendations.
About the role
- Data Scientist applying machine learning models to solve complex business problems. Collaborating on cross-functional projects to benefit internal stakeholders at CBC/Radio-Canada.
Responsibilities
- Identify, clean, transform and synthesize large volumes of data within our Big Data environment or using our analytical tools.
- Help verify and validate data to ensure input quality and model reliability.
- Contribute to the preparation, enrichment and transformation of user-level engagement data, and build scalable data processing pipelines.
- Select and apply appropriate modelling techniques to achieve audience segmentation and customization goals.
- Leverage machine learning models to automate solutions to complex challenges.
- Develop and implement marketing attribution models (e.g., marketing mix modelling).
- Conduct content affinity analyses (e.g., market basket analysis) to uncover relationships between assets.
- Leverage artificial intelligence techniques to analyze complex data and enhance customization and automation capabilities.
- Partner closely with the Big Data Development and Data Integration teams to define data collection strategies.
- Present analyses and insights to a diverse internal audience, including product managers and marketing/communications managers.
- Establish team-wide analytical best practices by designing technical templates and documentation.
- Create and maintain Power Platform solutions (Power BI, Power Automate) to provide internal teams with self-service access to model insights.
- Maintain strong relationships with corporate clients as an internal consultant.
- Monitor changes in source data structures and analyze their impact on existing models.
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.
- Media industry experience an asset.
- Familiarity with CBC/Radio-Canada platforms and content an asset.
- Bilingualism (English/French) required.
Benefits
- Competitive benefits
- CBC/Radio-Canada employee benefits
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