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Pinterest
Pinterest
1,001 – 5,000 Employees
H1B Visa SponsorB2CMedia
Pinterest is a visual discovery platform where people find inspiration, save ideas, and organize them around interests, projects, and purchases. Its experience combines personalized recommendations and visual search across topics such as home design, fashion, recipes, and events, while also helping creators and retailers reach audiences through commerce tools and advertising.
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Analytics Engineering Manager II, Core Data Science at Pinterest

Lead a high-performing analytics engineering team at Pinterest, building data foundations, experimentation systems, and AI-enabled analytics for its inspiration platform.

USUnited States
$177,185 – $364,795 / year
HybridFull-timeMiddleSeniorEnglish RequiredAnalytics Engineer
ETLPythonSQL

Description

  • Lead, support, and develop a diverse, high-performing analytics engineering team
  • Establish instrumentation and experimentation standards and share them with product engineering teams
  • Create and pilot AI tools and analytical pipelines that deliver insights at scale
  • Apply AI to speed analysis, prototyping, iteration, documentation, and quality assurance while validating results
  • Work with data scientists and engineers to make important datasets, insights, and metric investigations self-service
  • Maintain documentation for tools and datasets while shaping data quality and democratization strategy
  • Partner with product managers, engineers, designers, and researchers to create future Pinterest experiences

Requirements

  • At least six years working with data in a fast-paced, data-driven setting, including experience managing engineers
  • Skill in working with large, high-dimensional, complex datasets
  • Proficiency in SQL or another database language and in Python or R
  • Experience manipulating nested data structures and applying window functions, query optimization, and data partitioning
  • Background in workflow orchestration and ETL or ELT with very large, complex datasets and DAG dependencies
  • A history of delivering analytics solutions and turning open-ended goals into clear, high-impact objectives
  • Demonstrated ability to improve workflow speed and quality with AI while critically reviewing and verifying AI-assisted output
  • Strong integrity, ownership, protection of sensitive data, and accountability for decisions and deliverables
  • Bachelor's, master's, or doctoral degree in a quantitative discipline such as computer science, statistics, or mathematics, or equivalent experience
  • Experience with automation, anomaly detection, or infrastructure and workflow optimization is preferred but not required
  • Experience developing internal tools that increase engineering velocity is preferred but not required

Benefits

  • Eligibility for equity
  • Flexible working model
  • In-person collaboration once or twice per month
  • Equal opportunity employment and support for accommodations

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