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Data Scientist II

  • Remote
  • Specialism : Scientist
  • Post Date: February 12, 2025
  • Expires In : 23 Days
  • Apply Before: May 15, 2025
  • Applications 0
  • Views 547
Job Overview

JOB SUMMARY

Requirements
  • Bachelor’s or Master’s degree in a relevant field such as Data Science or Statistics, or equivalent experience
  • 2+ 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 Statistical Modeling 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
  • 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
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
 
 
 
 
 

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Data Scientist II

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