Senior Data Scientist, Monetization

Pinterest

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CASeattle, WA
Salary
$164,428–$287,749 / yr
Posted
8 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $226k
$111k $307k
below market most similar roles pay here above market

This role pays more than 77% of similar roles. Most pay $139,900–$215,481 — the blue band above. At the midpoint, this role pays about $226k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 68 open roles on FindRole.

Listed pay typically runs $174,078–$339,078 across 61 roles with salary data.

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View all roles at Pinterest

At a glance

TL;DR · Senior Data Scientist, Monetization

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The Sr. Data Scientist, Monetization joins the Monetization Engineering organization to take end-to-end ownership of designing, researching, building, and delivering data products. This role involves collaborating with cross-functional teams to formulate and evolve strategies within the ads space. Key responsibilities include performing deep strategic analysis on metric trade-offs, conducting opportunity sizing, and building segmentation models to inform pricing strategies. The successful candidate will improve decision velocity using experimentation and causal inference techniques while creating success metrics and tracking dashboards. Required skills include proficiency in SQL, Hive, and Python, along with strong fundamentals in statistics and scientific methods applied to web-scale data. The role specifically addresses technical problems within the ads ecosystem, including real-time bidding and programmatic ad load adjustments.

What does a Data Scientist earn in California?

Median $214500 from 134 postings across 32 companies.

See salary data

Skills

Python SQL Hive Statistics Causal Inference Experimentation Data Science Web-scale Data Ads Ecosystem real-time-bidding Dashboards

What you'll do

  • Design, research, build, and deliver end-to-end data products for the Ads space.
  • Perform deep strategic analysis to evaluate trade-offs and impact across the ads ecosystem.
  • Conduct opportunity sizing and write actionable analyses to identify areas for investment.
  • Build segmentation models to assess supply and inform pricing strategies.
  • Apply experimentation and causal inference techniques to improve decision velocity and quality.
  • Design measurement strategies and build tools for tracking experiment results.
  • Identify success metrics and build dashboards to monitor data quality and performance.
  • Lead and mentor other data scientists on their scope of work and output quality.

What we're looking for

  • Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience.
  • 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  • Strong fundamentals in statistics and experimentation.
  • Proficiency in SQL, Hive, and Python.
  • Domain knowledge in ecosystem, ads, or real-time-bidding.
  • Proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • US based applicants only.

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