Sr. Data Scientist, Core · Pinterest

Sat, 18 Apr 2026 15:57:11 GMT
Engineering

Pinterest · San Francisco, CA, US; Remote, US · $139,764-$287,749 USD · hybrid

We're seeking a Senior Data Scientist to join our Core organization, where you'll shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation, and algorithms will be utilized to solve complex engineering challenges. You'll collaborate with cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and others to drive product development and introduce scientific rigor into real-world products serving hundreds of millions of users.

Key responsibilities include:

Developing best practices for instrumentation and experimentation to help fulfill our mission to bring everyone the inspiration to create a life they love

Bringing scientific rigor and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of our users

Building and prototyping 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

Working cross-functionally to build and communicate key insights, and collaborating closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Requirements include:

5+ 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 machine learning, statistical modeling, forecasting, econometrics, or other related fields

Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow, or scikit-learn

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

Relocation assistance is not eligible for this position. The base salary range for this position is $139,764-$287,749 USD, and the position is eligible for equity.