About the company
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Responsibilities
- Develop best practices for instrumentation and experimentation and communicate those to product engineering teams.
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement.
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics.
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers.
- Leverage AI to seek faster execution and explore alternative options.
- Leverage AI to synthesize information and automate repeatable tasks.
Requirements
- 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.
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields.
- Experience solving problems within digital advertising is preferred.
- Familiarity with online experimentation and its pitfalls.
- A scientifically and statistically rigorous approach to analysis and 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).
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners.
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions.
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow.
- Strong track record of critical evaluation and verification of AI-assisted work.
- High integrity and ownership.
- Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience.
Conditions
- This position is not eligible for relocation assistance.
- This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in Ontario.