
Data Scientist II, Monetization & Pricing
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist II, Monetization & Pricing based in Canada.
This role sits at the intersection of data science, product strategy, and marketplace economics, focusing on optimizing pricing and monetization across a large-scale consumer platform. You will work closely with product managers, engineers, and economists to understand user behavior, design experiments, and shape pricing strategies that directly impact growth and revenue. The environment is highly collaborative and analytical, with a strong emphasis on experimentation, causal inference, and data-driven decision-making. You will help define key business metrics, monitor performance trends, and uncover opportunities to improve marketplace efficiency. This position offers significant ownership in shaping how pricing and monetization evolve across multiple product surfaces. It is ideal for a data scientist who thrives in fast-paced, cross-functional environments and enjoys turning complex data into actionable business insights.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist II, Monetization & Pricing based in Canada.
This role sits at the intersection of data science, product strategy, and marketplace economics, focusing on optimizing pricing and monetization across a large-scale consumer platform. You will work closely with product managers, engineers, and economists to understand user behavior, design experiments, and shape pricing strategies that directly impact growth and revenue. The environment is highly collaborative and analytical, with a strong emphasis on experimentation, causal inference, and data-driven decision-making. You will help define key business metrics, monitor performance trends, and uncover opportunities to improve marketplace efficiency. This position offers significant ownership in shaping how pricing and monetization evolve across multiple product surfaces. It is ideal for a data scientist who thrives in fast-paced, cross-functional environments and enjoys turning complex data into actionable business insights.