Sr data scienitst

Company Description Spin Master Corp. (TSX:TOY) is a global children’s entertainment company delivering innovative play experiences across Toys, Entertainment, and Digital Games. The company is known for award-winning brands such as PAW Patrol®, Melissa & Doug®, Bakugan®, and Rubik’s® Cube, and serves as the global toy licensee for several iconic properties. Its in-house studio produces multiplatform content, including preschool franchises, original series, and feature films that reach diverse audiences worldwide. Spin Master’s digital games, led by Toca Boca® and Piknik™, engage tens of millions of users monthly with creative and safe play experiences. With 29 offices in nearly 20 countries and more than 2,500 team members, Spin Master offers a collaborative, international environment for professionals passionate about entertainment and technology.

Role Description The Sr Data Scientist role is a full-time hybrid position based in Toronto, ON, with a mix of in-office and work-from-home days. This role focuses on designing, building, and deploying data science solutions that support product development, marketing, digital games, and business operations. Day-to-day responsibilities include collecting and cleaning data from multiple sources, developing predictive and prescriptive models, and performing advanced analytics to uncover trends in user behavior, toy performance, and content engagement. The Sr Data Scientist will collaborate closely with cross-functional teams to translate business questions into analytical frameworks, create dashboards and reports, and communicate insights and recommendations to technical and non-technical stakeholders. The role also involves experimenting with new methodologies, mentoring junior team members, and contributing to the overall data strategy and best practices within Spin Master.

Qualifications

• Strong foundation in statistics, machine learning, and data modeling, with experience applying these methods to real-world business problems.
• Proficiency in data science programming languages and tools (e.g., Python or R, SQL, notebooks, version control) and experience working with large, complex datasets.
• Experience with data visualization and business intelligence platforms (e.g., Tableau, Power BI, Looker) and skills in building clear, actionable dashboards.
• Knowledge of cloud data environments and analytics ecosystems (e.g., AWS, GCP, or Azure; data warehouses and pipelines) and comfort working with modern data architectures.
• Demonstrated ability to partner with product, marketing, and digital teams, translate business needs into analytical solutions, and communicate insights to diverse audiences.
• Background in consumer products, entertainment, gaming, or digital platforms is an asset, particularly in user behavior analysis and A/B testing.
• Experience guiding or mentoring other data professionals and contributing to data science best practices and standards.
• Graduate degree in a quantitative field