Pinterest’s Core organization works on Trust and Safety and Content Quality, building people-facing and business-facing products.
Responsibilities
Develop a deep understanding of Pinterest’s trust and safety platform, quantifying full-funnel opportunities and risks.
Lead projects on Trust and Safety opportunities across different funnel stages.
Design and productionize robust, scalable ML and evaluation frameworks spanning statistical measurement, product recommendation, and forecasting.
Develop best practices for instrumentation and experimentation and communicate them to product engineering teams.
Apply scientific rigor and statistical methods to product creation, development, and improvement, with an appreciation for Pinner behavior.
Build and prototype analysis pipelines iteratively to provide insights at scale; develop comprehensive knowledge of data structures and metrics, and advocate for changes needed for product development.
Work cross-functionally to build and communicate key insights, collaborating with product managers, engineers, designers, and researchers.
Help evolve the organization from reactive moderation and lagging harm reporting into a proactive, metrics-driven operating system that manages leading indicators to predict risk, improve understanding quality, and keep Pinterest safe, inspiring, and useful.
Requirements
Minimum 10 years of experience analyzing data in a fast-paced, data-driven environment, with a proven ability to apply scientific methods to real-world problems on web-scale data.
Extensive experience solving analytical problems using quantitative approaches, including Machine Learning, Statistical Modeling, Forecasting, Econometrics, or related fields.
Scientifically rigorous approach to analysis and data; skepticism, attention to detail, and commitment to high-quality, results-oriented output.
Ability to manipulate large, high-dimensional, complex datasets; fluency in SQL or other database languages and a scripting language such as Python or R.
Excellent communication skills, including explaining learnings to technical and non-technical partners; ability to influence and partner with cross-functional leadership to turn insights into actions.
Bachelor’s degree in Computer Science, a related field, or equivalent experience.
Conditions
The role can be situated anywhere in the US and requires in-person office collaboration 1–2 times per quarter.
Not eligible for relocation assistance.
US-based applicants only. Base salary range: $164,695–$339,078 USD. The position is also eligible for equity; final salary depends on factors including location, travel, relevant prior experience, skills, and expertise.