Senior Data Scientist, Performance Marketing

Pinterest

Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Salary
$139,764–$287,749 / yr
Posted
7 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $214k
$97k most similar roles pay here $308k

This role pays more than 77% of similar roles. Most pay $129,032–$208,800 — the shaded band above. At the midpoint, this role pays about $214k versus about $169k 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 40 open roles on FindRole.

Listed pay typically runs $174,326–$351,936 across 40 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Senior Data Scientist, Performance Marketing

Role Posting Log in to save

As a Senior Data Scientist in Pinterest’s Growth Marketing team, you will drive strategic decisions by introducing scientific rigor into marketing measurement and optimization processes to enhance user growth. Your daily tasks include conducting deep strategic analysis on performance marketing strategies, evolving geo-testing frameworks, and building statistical models like propensity scoring and forecasting to optimize marketing efforts. You’ll collaborate with cross-functional teams to develop new metrics, maintain data pipelines for automated reporting, and translate complex findings into actionable insights for both technical and non-technical stakeholders. The role requires expertise in Python or R, proficiency in SQL/Hive, and a strong background in statistics and quantitative analysis, along with experience in causal inference projects and leading key technical initiatives.

Skills

Python R SQL Hive Kubernetes Terraform AWS CI/CD Prometheus Grafana PostgreSQL MongoDB Git Jenkins

What you'll do

  • Conduct deep strategic analysis to drive monthly active users from paid performance marketing.
  • Evolve and maintain incrementality testing frameworks for performance marketing.
  • Build statistical models like propensity scoring and forecasting to optimize marketing strategies.
  • Develop new statistical models and improve existing ones such as user LTV and budgeting models.
  • Translate complex analytical findings into clear, actionable insights for senior leadership.

What we're looking for

  • 5+ years of experience applying scientific methods to solve real-world problems.
  • Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
  • Hands-on experience with building marketing measurement solutions and quantifying business impact.
  • Expertise in advanced statistical techniques and proficiency in SQL/Hive.
  • Strong background in experimentation and causal inference projects.
  • Excellent communication skills for translating complex findings into actionable insights.

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