Data Scientist (Toronto)

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTION

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

AdRise is FOX's core ad tech platform, built to unify streaming and linear advertising across Tubi, FOX Sports, FOX News Media, and FOX Entertainment. Before AVOD became industry standard, AdRise helped power Tubi's growth from the ground up by developing real-time ad delivery and dynamic targeting infrastructure that scaled to serve millions. That same tech foundation is now fueling FOX's cross-portfolio monetization strategy.

We are rebuilding the ad stack for video by optimizing server-side delivery, building ML-driven targeting systems, and enabling content-personalized ad experiences that respond to what viewers actually watch. From real-time decisioning to data collaboration with AWS and Snowflake, we are creating a smarter, more dynamic ad tech ecosystem. The problems are complex, the visibility is high, and the platform is built for impact. If you want to work at the center of streaming monetization on systems that touch billions of impressions and shape the next generation of personalized advertising, this is your platform.

ABOUT THE ROLE
We are seeking a highly skilled Data Scientist who has experience working with AdTech data to join our team and help drive data-informed decisions across our advertising products and platforms. In this role, you will work closely with Product, Engineering, and Business stakeholders to uncover insights, improve performance, and enable scalable, data-driven optimization. You will be responsible for designing experiments, developing metrics, performing advanced analyses, and building foundational models that influence the evolution of our ad ecosystem.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Design and execute rigorous A/B tests to evaluate the impact of product changes and business initiatives, providing statistically sound recommendations for optimization and deployment.

• Develop and maintain key performance indicators (KPIs) and business metrics, ensuring data quality, understanding their drivers, and creating informative dashboards for real-time monitoring and stakeholder communication.

• Utilize advanced SQL skills to extract, clean, and transform large datasets from various sources, preparing data for analysis and supporting ad-hoc requests from business and product teams.

• Perform deep-dive exploratory data analysis (EDA) to uncover trends, identify root causes of performance changes, and generate actionable insights for product development and business strategy.

• Build basic analytical models (e.g., linear regression, classification) to predict key outcomes, segment users, or provide deeper quantitative insights, going beyond descriptive statistics.

• Partner with Product and Engineering teams to define data and experimentation requirements for new features and enhancements.

• Translate complex analytical concepts into clear, actionable recommendations for technical and non-technical stakeholders.

• Contribute to the development of data best practices, including documentation, reproducible analysis workflows, and data quality standards.

WHAT YOU WILL NEED

• 2–5+ years of experience working with Ad Tech, digital advertising, programmatic data, or related large-scale user behavior datasets.

• Strong proficiency in SQL, data modeling, and managing large datasets.

• Experience with Python or R for statistical analysis and modeling.

• Solid understanding of A/B testing, experimental design, and statistical inference.

• Proven ability to communicate insights clearly and effectively to cross-functional stakeholders.

NICE TO HAVE, BUT NOT A DEALBREAKER

• Experience with ad-serving systems, auction dynamics, attribution models, or campaign performance pipelines.

• Familiarity with BI and dashboarding tools (e.g., Looker, Tableau, Mode, Power BI).

• Understanding of machine learning fundamentals and experience building production-quality models.

• Knowledge of cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift).

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