Data Scientist II, Monetization & Pricing
New
Remote-first flexibility within Canada.Full-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 2+ years of experience in data science, analytics, economics, or a related quantitative field.
- Required Skills
- SQLData scienceA/B testing
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.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
