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Role overview

This opportunity is on behalf of a partner employer that will handle applications and the next stages of the hiring process. The company is seeking a Data Scientist II, Monetization & Pricing in Canada. The role blends data science, product thinking, and marketplace economics to improve pricing and monetization across a large consumer platform.

You will work closely with product managers, engineers, and economists to study user behavior, design experiments, and influence pricing decisions that affect growth and revenue. The work is highly collaborative and analysis-heavy, with a strong focus on experimentation, causal inference, and decisions backed by data. You will help shape key metrics, watch business performance, and identify ways to make the marketplace more efficient. This is a high-ownership role for someone who enjoys solving complex business problems in a fast-moving, cross-functional environment.

Key responsibilities

Plan and run quantitative studies to understand customer behavior, marketplace patterns, and opportunities to improve monetization.
Design, evaluate, and interpret experiments such as A/B tests and causal inference analyses together with engineering and applied science partners.
Work with product and engineering teams to define features, estimate business impact, and guide pricing and monetization choices.
Create, maintain, and review important business and product metrics, while investigating unusual trends or performance changes.
Build strong knowledge of marketplace systems, pricing logic, and user funnel behavior.
Turn detailed analytical findings into practical recommendations for product, marketing, and leadership stakeholders.
Help strengthen data quality, metric standards, and analytical methods across the organization.
Support and mentor other data scientists through collaboration and knowledge sharing.

Requirements

At least 2 years of experience in data science, analytics, economics, or another quantitative discipline.
Advanced SQL skills and experience working with very large datasets.
Hands-on experience with experiment design, A/B testing, analysis, and interpretation.
Solid knowledge of statistics, causal inference, and experimental methodology.
Experience working with cross-functional teams such as product, engineering, design, and marketing.
Strong communication skills with the ability to explain complex analysis in simple business terms.
Bachelor’s, Master’s, or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, or a related area.
Sharp analytical thinking, strong attention to detail, and good problem-solving skills.
Ability to balance several priorities in a fast-paced, data-focused environment.

Benefits and perks

Competitive pay aligned with experience and market standards.
Remote-first arrangement within Canada.
Full health, dental, and vision coverage.
Access to learning and professional growth opportunities.
Inclusive, collaborative culture centered on innovation and development.
Chance to influence pricing and monetization strategy at scale.
Strong focus on work-life balance and employee well-being.

Application and privacy information

This role is managed through a partner hiring process. A matching system is used to review applications quickly and fairly against the job requirements, and the strongest matches are shared with the employer for further steps such as interviews or assessments.

By applying, you acknowledge that your personal data may be processed to assess your candidacy and shared with the hiring employer under applicable data protection rules, including GDPR where relevant. You may request access, correction, deletion, or objection regarding your data. Automated tools may assist with application review and response analysis, but final hiring decisions are made by people.

Data Scientist II, Monetization & Pricing