# Data Scientist

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** Remote
**Role:** Data Science
**Salary:** $101k – $209k/yr
**Experience:** 4+ years
**Skills:** Machine Learning, Statistical Modeling, Forecasting, Econometrics, PyTorch, TensorFlow, scikit-learn, SQL, Python, R
**Posted:** 2026-06-02

> As a Data Scientist, you will shape the future of Pinterest's products by applying quantitative modeling, experimentation, and algorithms to complex engineering challenges. You will collaborate with cross-functional partners to bring scientific rigor to product development and deliver insights that influence product teams.

## Job Description

## What you’ll do

* Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
* Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
* Build and prototype 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
* Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

## What we’re looking for

* 4+ 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 in the fields of 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
* Bachelor’s degree in Computer Science, a related field or equivalent experience

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