Pinterest is looking to advance Curation at Pinterest, enabling pinners to create a life they love by discovering and curating their own taste, through a combination of innovative product interfaces and sophisticated recommendation systems.
Requirements
- 7+ 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
- Strong interest and experience in recommendation systems and causal inference
- Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark)
- Ability to work independently and drive your own projects
- Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners
- A team player eager to partner with cross-functional partners to quickly turn insights into actions
- Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience
Responsibilities
- Build a deeper understanding of our Pinterest Curation ecosystem; understanding and quantifying the opportunities and Pinner needs around boards, trends, collages, and more.
- Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations.
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
- Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
- Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process.
- Mentor and up-level junior data scientists on the team.
- Develop methods and models to explain why certain content is being promoted (or not) for a Pinner
Other
- Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience
- Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners
- A team player eager to partner with cross-functional partners to quickly turn insights into actions
- Ability to work independently and drive your own projects
- This role will need to be in the office for in-person collaboration 1-2 times/quarter
