Developer, Data Science

Corus Entertainment•Toronto, ON

2d•Hybrid

About The Position

At Corus Entertainment, we’re shaping the future of media in Canada—home to the country’s biggest hits, most trusted news, and greatest value. Our mission is simple: to create engaging content, connect with audiences wherever they are, and drive meaningful growth. Guided by our values—Think Boldly, Make a Positive Impact, Win as a Team, and Own the Outcome—we bring creativity and collaboration to everything we do. If you’re ready to make an impact, there’s a place for you at Corus. Division: Data Science & IT Architecture Work Status: Full-Time Location: Toronto, ON (Hybrid) About the Role: We are seeking a Data Science Software Developer who sits at the intersection of software engineering and applied data science. This role is responsible for building robust, scalable data products and tools that enable advanced analytics, machine learning, and decision support across Corus. You will work closely with data scientists, analysts, and business stakeholders to produce models, automate workflows, and build data-driven applications.

Requirements

BA/BS degree in Computer Science/Computer Programming or related field along with 5 years of experience in software development, with exposure to data platforms
Strong proficiency in Python (primary) and SQL
Experience with data processing frameworks (e.g., Spark, Pandas, Apache Beam)
Experience building and maintaining data pipelines (Airflow, Cloud Composer, etc.)
Hands-on experience with cloud platforms (GCP preferred: BigQuery, Cloud Run, GCS)
Familiarity with REST APIs and microservices architecture
Experience with version control (Git) and CI/CD pipeline
Exposure to machine learning workflows and model deployment
Great communication skills with the ability to translate technical speak to non-technical audiences

Nice To Haves

Experience with Looker, Dataform, and BI tools
Knowledge of streaming data (Pub/Sub, Kafka)
Familiarity with data governance and data quality frameworks

Responsibilities

Design, develop, and maintain data-centric applications and services supporting analytics and AI use cases
Software design and architecture for addressing individual business problems
Build and optimize ETL/ELT pipelines in cloud environments (GCP preferred)
Productionize data science models into reliable, scalable software solutions
Develop APIs and backend services to expose data and model outputs
Collaborate with the Data Science team to translate prototypes into production systems
Deploy and manage machine learning models using MLOps best practices
Implement monitoring, logging, and observability for data pipelines and services
Ensure data quality, performance, and system reliability aligned with SLAs/SLOs
Contribute to DevOps practices including CI/CD, testing, and infrastructure-as-code