Senior Data Scientist, Performance Marketing

Pinterest

Confirmed live 3 days ago High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$139,764–$287,749 / yr
Posted
4 days ago
Freshness
Confirmed live 3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $214k
$106k $307k
below market most similar roles pay here above market

This role pays more than 76% of similar roles. Most pay $142,725–$212,439 — the blue band above. At the midpoint, this role pays about $214k 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 79 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 73 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist, Performance Marketing

The Sr. Data Scientist, Performance Marketing joins the Growth Marketing team to introduce scientific rigor into marketing measurement and optimization processes. This role focuses on driving user growth by performing deep strategic analysis on paid performance marketing, including quantifying effects in new markets and analyzing user lifetime value. Key responsibilities include building and deploying statistical and machine learning models for propensity, forecasting, and budgeting, while evolving geo-testing and incrementality frameworks. The candidate will use Python, R, SQL, and Hive to develop ETL pipelines, automated reporting tools, and dashboards. Core competencies include causal inference, experimentation best practices, and translating complex analytical findings into actionable insights for cross-functional partners. The work addresses the business problem of identifying investment opportunities and defining metrics to sustain a growing user base.

What does a Data Scientist earn in California?

Median $214500 from 116 postings across 27 companies.

See salary data

What you'll do

  • Perform strategic analysis to quantify the impact of paid performance marketing on user growth and lifetime value.
  • Build and deploy statistical and machine learning models for propensity, forecasting, and audience targeting.
  • Evolve geo-testing and incrementality testing frameworks to evaluate the business impact of marketing investments.
  • Own the full lifecycle of success metrics, including logging requirements, definitions, and prototype pipelines.
  • Translate complex analytical findings into actionable strategic recommendations for technical and non-technical stakeholders.
  • Design and maintain dashboards and automated reporting tools to enable self-serve data-driven decision-making.
  • Build and optimize ETL data pipelines to support deep-dive analysis and feature engineering for analytical models.

What we're looking for

  • Minimum 5 years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
  • Master's degree in a quantitative field such as mathematics, statistics, computer science or engineering.
  • Hands-on experience building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
  • Strong background in statistics and quantitative analysis, including experience with causal inference projects.
  • Expertise in at least one scripting language, ideally Python or R.
  • Proficiency in SQL/Hive with the ability to write efficient SQL queries.
  • Experience leading key technical projects and a strong experimentation background.
  • US based applicants only.

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