Staff Data Scientist, Trust and Safety

Pinterest

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$164,695–$339,078 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $252k
$113k $363k
below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $146,925–$221,476 — the blue band above. At the midpoint, this role pays about $252k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 69 open roles on FindRole.

Listed pay typically runs $175,631–$339,078 across 62 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist, Trust and Safety

The Staff Data Scientist, Trust and Safety joins the Core organization to shape people-facing and business-facing products. This role involves developing a nuanced understanding of the trust and safety platform by quantifying funnel opportunities and risks. You will lead projects to design and productionize robust, scalable ML and evaluation frameworks, including statistical measurement, product recommendation, and forecasting. Key responsibilities include building analysis pipelines, developing best practices for instrumentation and experimentation, and collaborating with cross-functional partners like Engineering and Design. You must possess extensive experience in quantitative modeling, econometrics, and statistical methods. Required technical skills include fluency in SQL and a scripting language like Python or R. The role solves the complex problem of evolving reactive moderation into a proactive, metrics-driven operating system that predicts risk and improves quality.

What does a Data Scientist earn in California?

Median $214500 from 136 postings across 32 companies.

See salary data

What you'll do

  • Quantify full funnel opportunities and risks to develop a deep understanding of the trust and safety platform.
  • Lead projects identifying trust and safety opportunities across different stages of the user funnel.
  • Design and productionize scalable ML and evaluation frameworks for 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 solve challenges in product creation, development, and improvement.
  • Build and prototype iterative analysis pipelines to provide insights at scale while managing data structures and metrics.
  • Collaborate with cross-functional partners to communicate key insights and build new product experiences.

What we're looking for

  • Minimum 10 years of experience analyzing data in a fast-paced, data-driven environment.
  • Proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • Extensive experience solving analytical problems using Machine Learning, Statistical Modeling, Forecasting, or Econometrics.
  • Fluency in SQL (or other database languages) and a scripting language like Python or R.
  • Ability to manipulate large data sets with high dimensionality and complexity.
  • Excellent communication and influencing skills to explain learnings to both technical and non-technical partners.
  • Bachelor’s degree in Computer Science, a related field, or equivalent experience.
  • US based applicants only.

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