Pinterest is hiring a Sr. Data Scientist in Toronto!
Pinterest is hiring a Senior Data Scientist to join its Toronto-area team and help shape both consumer-facing and business-facing products. The role centres on applying quantitative modelling, statistical experimentation, and algorithm design to large-scale product and business questions, working alongside Product, Engineering, Design, Research, Product Analytics, and Data Engineering partners. Pinterest explicitly frames AI as a working tool in this position: candidates are expected to use it to speed up drafting, prototyping, and synthesis while maintaining rigorous verification and personal accountability for results. The position is open to candidates located anywhere in Ontario, with occasional in-person collaboration rather than a fixed office schedule, and no relocation support is offered.
Key responsibilities
- Establish and promote best practices for instrumentation and experimentation, sharing them with product engineering teams
- Apply statistical methods and scientific rigour to product creation, development, and improvement work
- Build and iterate on prototype analysis pipelines that deliver insight at scale, and maintain deep knowledge of data structures and metrics
- Partner cross-functionally with product managers, engineers, designers, and researchers to generate and communicate key insights
- Use AI tools to accelerate execution, explore alternative approaches, summarise information, and automate repeatable tasks such as documentation, reporting, and QA
- Translate findings into actionable recommendations for technical and non-technical stakeholders
Key requirements
- 5+ years of experience analysing data in a fast-paced, data-driven setting, applying scientific methods to web-scale problems
- Strong quantitative background in statistics, machine learning, forecasting, econometrics, or a related area
- Familiarity with online experimentation and its common pitfalls; digital advertising experience is preferred
- Fluent SQL plus a scripting language such as Python or R, with the ability to work with large, high-dimensional datasets
- Demonstrated use of AI to improve speed and quality of work, plus a track record of critically verifying AI-assisted output
- Excellent communication skills and comfort partnering with cross-functional leadership
- High integrity and ownership, including responsible handling of sensitive data and accountability for final deliverables
- Bachelor's or Master's degree in data science or an equivalent field, or comparable experience
- Seniority: Senior
- Work mode: Hybrid; in-office 1-2 times per half, can be based anywhere in Ontario; no relocation assistance
- Key skills: SQL, Python, R, Statistics, Machine Learning, Experimentation, Forecasting, Econometrics, Data Pipelines, AI-assisted workflows, Communication
Want more jobs?
Join our mailing list to receive updates about new data science and Sr. Data Scientist jobs.
