As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest’s Marketing Science team.
Requirements
- 8+ years of experience applying data science to solve real-world problems on web-scale data
- Domain expertise about ads platforms and products, particularly around measurement and performance
- Strong fundamentals in statistics, particularly experimentation and causal inference
- Proficiency in common data science coding languages such as SQL and Python.
Responsibilities
- Research and analyze what drives performance on our platform for advertisers.
- Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction.
- Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc.
- Creating and tracking metrics around advertiser value.
- Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success.
- Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc.
- Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
Other
- MS or PhD in a quantitative field or equivalent experience
- Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders.
- Strong communication skills. Explains work and thought processes clearly, concisely and convincingly.
- This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto.
- US based applicants only
