[Remote] Staff Data Scientist, Trust and Safety

Note: The job is a remote job and is open to candidates in USA. Pinterest is hiring a Staff Data Scientist for its Trust and Safety and Content Quality organization. The role applies quantitative modeling, experimentation, and algorithms to evolve trust and safety into a proactive, metrics-driven system and improve product quality and safety. The scientist will partner across product, engineering, design, research, and analytics to shape products and inform decisions.

Responsibilities

• Develop a deep, nuanced understanding of the Pinterest 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 those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Skills

• Minimum 10 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 Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
• 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
• 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
• Excellent communication and influencing skills
• Bachelor's degree in Computer Science, a related field or equivalent experience

Benefits

• Eligible for equity.
• This role can be situated anywhere in the country and requires in-person collaboration 1–2 times per quarter.

Company Overview

Company H1B Sponsorship