Senior Data Scientist, Core

Pinterest

Confirmed live today Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$139,764–$287,749 / yr
Posted
25 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $214k
$113k $306k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $147,540–$214,600 — the blue band above. At the midpoint, this role pays about $214k versus about $181k 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 76 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 70 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Senior Data Scientist, Core

As a Sr. Data Scientist, Core, you will join the Core organization to shape the future of people-facing and business-facing products. You will apply scientific rigor and statistical methods to solve complex engineering challenges, focusing on product creation, development, and improvement. Your daily responsibilities include developing best practices for instrumentation and experimentation, building and prototyping iterative analysis pipelines, and communicating key insights to cross-functional partners like Engineering, Design, and Research. You will utilize quantitative modeling, machine learning, and deep learning frameworks including PyTorch, TensorFlow, and scikit-learn. The role requires proficiency in SQL and scripting languages like Python or R to manipulate large, high-dimensional datasets. You will solve real-world problems involving web-scale data, forecasting, and econometrics to influence product development for pinners, creators, advertisers, and merchants.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Develop best practices for instrumentation and experimentation for product engineering teams.
  • Apply scientific rigor and statistical methods to product creation and development challenges.
  • Build and prototype iterative analysis pipelines to provide insights at scale.
  • Develop a comprehensive knowledge of data structures and metrics to advocate for product changes.
  • Communicate key insights to cross-functional partners including product managers, engineers, and designers.
  • Solve complex analytical problems using machine learning, statistical modeling, and forecasting.
  • Manipulate large, high-dimensional datasets using SQL and Python or R.

What we're looking for

  • 5+ 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 quantitative approaches including Machine Learning, Statistical Modeling, Forecasting, or Econometrics.
  • Experience using machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • 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 skills to explain learnings to both technical and non-technical partners.
  • Bachelor’s degree in Computer Science, a related field, or equivalent experience.

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