Data Scientist role in Platform mission requiring skills in data frameworks and visualization tools. Collaborating with cross-functional teams in Toronto under a hybrid model.
Responsibilities
Partner with Insights Leads and senior data scientists to design and build performance metric frameworks.
Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions.
Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact.
Scope, prioritize, and execute projects including A/B tests and other experimentation approaches.
Apply statistical and causal inference methods to evaluate product changes for internal and external users.
Create compelling data stories through visualizations and reporting that influence decision-making across the Alliance.
Grow into a strategic analytical partner by taking on increasingly complex data challenges.
Requirements
You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action.
You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact.
You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies.
You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large-scale data technologies.
You care about building reliable metrics and helping teams make informed decisions using trustworthy data.
You have experience collaborating with engineers, product managers, and cross-functional partners.
You are curious, adaptable, and excited to grow your craft over time.
Benefits
flexibility to work where you work best!
in-person meetings allowed but still flexible to work from home
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