Pinterest · Posted 4w ago
Senior Data Scientist
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇨🇦 Toronto, Canada
- Contract
- Full-time
- Role
- Data science
- Source
- Stapply Data
Stack
- SQL
- Python
- R
The posting
Join Pinterest as a Senior Data Scientist in the Trust & Signals organization. In this role, you will shape the future of our people-facing and business-facing products. You will utilize your expertise in quantitative modeling, experimentation, and algorithms to solve complex engineering challenges. Collaborating with cross-functional partners, your work will influence product development and introduce scientific rigor into our real-world products. You will also develop best practices for instrumentation and experimentation, build analysis pipelines, and communicate key insights.
- Collaborate with cross-functional teams to address product and business challenges, leveraging expertise in quantitative modeling and experimentation. - Develop best practices for instrumentation and experimentation, and communicate those to product engineering teams to enhance product development. - Build and prototype analysis pipelines iteratively to provide insights at scale, advocating for changes where needed for product development.
- 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data - Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) - A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output - Familiarity with online experiment and its pitfalls - Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields - Excellent communication skills and ability to explain learnings to both technical and non-technical partners - Statistical rigor. Can guide the team and others on statistically valid approaches to problems - A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions