Sr. Data Scientist, Core

Pinterest Pinterest · Consumer · San Francisco, CA · Engineering, Product and Design (L2)

This role focuses on applying quantitative modeling, experimentation, and algorithms to shape people-facing and business-facing products at Pinterest. The data scientist will develop best practices for instrumentation and experimentation, bring scientific rigor to product challenges, build analysis pipelines, and collaborate cross-functionally to deliver insights and build new experiences. The role emphasizes using machine learning and deep learning frameworks to solve complex engineering challenges and influence product development for millions of users.

What you'd actually do

  1. 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
  2. Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
  3. 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
  4. 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

Skills

Required

  • 5+ years of experience analyzing data in a fast-paced, data-driven environment
  • Apply scientific methods to solve real-world problems on web-scale data
  • Solving analytical problems using quantitative approaches
  • Machine Learning
  • Statistical Modeling
  • Forecasting
  • Econometrics
  • Machine learning and deep learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Scientifically rigorous approach to analysis and data
  • Skepticism, attention to detail and commitment to high-quality, results-oriented output
  • Manipulate large data sets with high dimensionality and complexity
  • SQL (or other database languages)
  • Python or R
  • Excellent communication skills
  • Ability to explain learnings to both technical and non-technical partners
  • Partner with cross-functional leadership to quickly turn insights into actions
  • Bachelor’s degree in Computer Science, a related field or equivalent experience

What the JD emphasized

  • 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 in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
  • 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

Other signals

  • AI is a powerful partner that augments our creativity and amplifies our impact
  • shape the future of people-facing and business-facing products
  • quantitative modeling, experimentation and algorithms
  • solve some of the most complex engineering challenges
  • influence and uplevel our product development teams
  • introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants