This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist, Consumer in Canada.
This Senior Data Scientist, Consumer role sits at the intersection of large-scale consumer behavior, experimentation, and product impact within one of the most dynamic online community ecosystems in the world. You will use data to understand how millions of users engage with content, communities, and recommendations, translating complex behavioral signals into actionable product insights. The role involves partnering closely with product, engineering, and analytics teams to design experiments, measure impact, and guide decision-making across consumer-facing features. You will work in a fast-moving, data-rich environment where your analyses directly influence user experience and platform growth. This position offers the opportunity to shape how discovery, engagement, and retention evolve across a global audience. You will also contribute to defining best practices in experimentation, causal inference, and scalable analytics. The ideal candidate thrives in ambiguous problem spaces and enjoys turning large datasets into clear, impactful narratives.
Accountabilities:
Drive data science initiatives focused on consumer behavior, engagement, and product performance across large-scale digital platforms.
- Design and analyze experiments (A/B tests and causal inference models) to evaluate product changes and user experience improvements.
- Develop and maintain scalable models and metrics to understand user behavior, retention, and growth dynamics.
- Partner with product managers, engineers, and analysts to define success metrics and guide data-informed decision-making.
- Translate complex datasets into clear insights, recommendations, and storytelling for technical and non-technical stakeholders.
- Build and optimize analytical frameworks to support experimentation, forecasting, and user segmentation.
- Identify opportunities to improve user experience through data-driven hypotheses and experimentation roadmaps.
- Ensure data quality, integrity, and reproducibility across analyses and reporting systems.
Requirements:
Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or related discipline.
- 3–5+ years of experience in applied data science, product analytics, or experimentation-focused roles.
- Strong expertise in statistical modeling, causal inference, A/B testing, and experimental design.
- Proficiency in Python or R and SQL, with experience working on large-scale datasets.
- Solid understanding of machine learning techniques and their application to real-world product problems.
- Experience working cross-functionally with product and engineering teams in a consumer tech environment.
- Strong communication skills with the ability to translate technical findings into business impact.
- Ability to thrive in ambiguous, fast-paced environments with multiple competing priorities.
- Strong product intuition and curiosity about user behavior and digital engagement.
Benefits:
- Comprehensive medical, dental, and vision coverage with health spending accounts
- Retirement savings plan with employer matching contributions
- Flexible vacation policy and paid volunteer time off
- Generous paid parental leave and family planning support
- Mental health, coaching, and wellness programs
- Gender-affirming care and inclusive health benefits
- Income replacement and disability support programs
- Remote-first flexibility with global collaboration opportunities
- Professional development support and learning resources