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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.
Accountabilities
- Design and execute quantitative research to analyze user behavior, marketplace dynamics, and monetization opportunities.
- Build and evaluate experiments, including A/B tests and causal inference studies, in collaboration with engineering and applied science teams.
- Partner with product and engineering teams to scope features, model business impact, and inform pricing and monetization decisions.
- Define, track, and monitor key business and product metrics, investigating anomalies and performance shifts.
- Develop deep domain expertise in marketplace systems, pricing mechanisms, and user funnels.
- Translate complex data findings into clear recommendations for stakeholders across product, marketing, and leadership teams.
- Contribute to improving data quality, metric definitions, and analytical frameworks across the organization.
- Collaborate with and support the growth of other data scientists through mentorship and knowledge sharing.
Requirements
- 2+ years of experience in data science, analytics, economics, or a related quantitative field.
- Strong expertise in SQL and experience working with large-scale datasets.
- Experience designing, analyzing, and interpreting experiments and A/B tests.
- Strong understanding of statistical methods, causal inference, and experimental design.
- Experience partnering with cross-functional stakeholders such as product managers, engineers, designers, and marketers.
- Strong communication skills with the ability to translate complex analyses into clear business insights.
- Bachelor’s, Master’s, or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, or a related field.
- Strong analytical mindset with attention to detail and problem-solving capabilities.
- Ability to manage multiple priorities in a fast-paced, data-driven environment.
Benefits
- Competitive compensation package aligned with experience and market benchmarks.
- Remote-first flexibility within Canada.
- Comprehensive health, dental, and vision coverage.
- Access to professional development and learning opportunities.
- Inclusive and collaborative work environment focused on growth and innovation.
- Opportunity to impact pricing and monetization strategy at scale.
- Strong emphasis on work-life balance and employee well-being.
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