# Sr. Data Scientist, Core

**Company**: Pinterest
**Location**: San Francisco, CA, US; Remote, US
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $139,764-$287,749 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/6087213
**Canonical**: https://yubhub.co/jobs/job_7c809f8b-e66

## Description

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.

## Skills

### Required
- Quantitative modeling
- Experimentation
- Algorithms
- Machine learning
- Statistical modeling
- Forecasting
- Econometrics
- SQL
- Python
- R