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Sr. Data Scientist, Core

Pinterest

$138,380 - $284,900
Nov 12, 2025
San Francisco, CA, US • Remote, US
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Pinterest is looking to solve complex engineering challenges by leveraging data science expertise to shape the future of people-facing and business-facing products. The goal is to influence product development teams and introduce scientific rigor into real-world products serving millions of users.

Requirements

  • 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
  • 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)

Responsibilities

  • 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

Other

  • 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
  • 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
  • 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
  • This position is not eligible for relocation assistance.