Sr. Data Scientist, Core

Pinterest

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$139,764–$287,749 / yr
Posted
14 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $214k
$89k most similar roles pay here $309k

This role pays more than 84% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $214k versus about $162k 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 37 open roles on FindRole.

Listed pay typically runs $164,695–$332,012 across 37 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Sr. Data Scientist, Core

As a Data Scientist at Pinterest's Core organization, you will work on shaping the future of both people-facing and business-facing products by applying quantitative modeling, experimentation, and algorithmic expertise to solve complex engineering challenges. Your daily responsibilities include developing best practices for instrumentation and experimentation, bringing scientific rigor to product creation and improvement, and building analysis pipelines to provide scalable insights while advocating for necessary changes in data structures and metrics. You will collaborate closely with cross-functional teams including Product Managers, Engineers, Designers, and Researchers to drive the next generation of experiences on Pinterest. The ideal candidate has over five years of experience in a fast-paced, data-driven environment, proficiency in machine learning frameworks like PyTorch or TensorFlow, strong SQL skills, fluency in Python or R, and excellent communication abilities to convey insights effectively across technical and non-technical teams.

What you'll do

  • Develop and communicate best practices for experimentation to product engineering teams.
  • Apply statistical methods to solve complex challenges in product creation and improvement.
  • Build iterative analysis pipelines to provide scalable insights and advocate for necessary changes.
  • Work cross-functionally with various teams to build and share key insights for product development.
  • Manipulate large, high-dimensional data sets using SQL and scripting languages like Python.

What we're looking for

  • 5+ years of data analysis experience in fast-paced environments using scientific methods.
  • Extensive expertise in machine learning, statistical modeling, and deep learning frameworks.
  • Proficiency in manipulating large, complex datasets with SQL and Python/R scripting languages.
  • Strong communication skills to convey technical insights to non-technical stakeholders.
  • Ability to work cross-functionally and drive product development through data-driven insights.
  • Bachelor’s degree in Computer Science or a related field required.

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