Senior Data Scientist, Core

Pinterest

Confirmed live yesterday Trusted
Hybrid

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k
This role $214k
$97k most similar roles pay here $308k

This role pays more than 79% of similar roles. Most pay $127,325–$204,050 — the shaded band above. At the midpoint, this role pays about $214k versus about $166k 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 82 open roles on FindRole.

Listed pay typically runs $164,695–$337,990 across 82 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 both people-facing and business-facing products by applying scientific rigor to complex engineering challenges. You will be responsible for developing best practices for instrumentation and experimentation, building and prototyping analysis pipelines to provide insights at scale, and advocating for necessary changes in data structures and metrics. Your work involves solving real-world problems using quantitative modeling, machine learning, statistical modeling, forecasting, and econometrics. To succeed, you must be proficient in SQL, Python or R, and familiar with frameworks such as PyTorch, TensorFlow, or scikit-learn. You will collaborate cross-functionally with product managers, engineers, designers, and researchers to translate data into actionable insights for the platform's diverse user base of pinners, creators, advertisers, and merchants.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 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 solve complex challenges in product creation and development.
  • Build and prototype iterative analysis pipelines to provide insights at scale.
  • Advocate for changes in data structures and metrics to improve product development.
  • Use machine learning, deep learning frameworks, and quantitative modeling to solve real-world problems.
  • Manipulate large, high-dimensional datasets using SQL and Python or R.
  • Communicate key technical insights to both technical and non-technical cross-functional partners.
  • Translate data-driven insights into actionable items for product managers, engineers, and designers.

What we're looking for

  • Bachelor's degree in Computer Science, a related field, or equivalent experience.
  • 5+ years of experience analyzing data in a fast-paced, data-driven environment using scientific methods on web-scale data.
  • Extensive experience solving analytical problems using quantitative approaches like 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 and a scripting language such as Python or R to manipulate large, complex datasets.
  • Ability to communicate technical insights effectively to both technical and non-technical cross-functional partners.
  • Proven ability to work with cross-functional teams including Product, Engineering, Design, Research, and Data Engineering.
  • Commitment to high-quality, results-oriented output with a scientifically rigorous approach to data analysis.

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