Data Scientist II, Infrastructure

Remote Hybrid

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $114,297–$235,319 / yr
Posted: 14 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k

This role $175k

$83k most similar roles pay here $252k

This role pays more than 70% of similar roles. Most pay $126,800–$184,900 — the shaded band above. At the midpoint, this role pays about $175k versus about $156k 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 37 open roles on FindRole.

Listed pay typically runs $164,695–$332,012 across 37 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Data Scientist II, Infrastructure

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As a Data Scientist on Pinterest’s Infrastructure Data Science team, you will collaborate with engineering and cross-functional teams to enhance the measurability and efficiency of Pinterest’s infrastructure. Your daily tasks include defining and refining metrics for system health and quality, building analytical frameworks that make technical systems more understandable, and conducting experiments to quantify the impact of changes on user experience and business outcomes. You’ll need a strong background in SQL and analytical programming, along with expertise in data pipeline development and rigorous experimentation. This role requires solid communication skills to translate complex findings into actionable recommendations for stakeholders, as well as the ability to work independently in a fast-paced environment. The ideal candidate has a master’s degree in statistics or a related field and experience improving data quality and usability in production systems.

Skills

SQL Python Kubernetes AWS Terraform CI/CD Docker Prometheus Grafana PostgreSQL MESOS Hadoop Spark GitLab Jenkins

What you'll do

Define, measure, and improve the health, quality, and efficiency of Pinterest’s infrastructure systems.
Build metrics, dashboards, and analytical frameworks to make complex technical systems more understandable and actionable.
Improve metric definitions, audit data quality, and contribute to pipeline improvements for better data foundations.
Design experiments and deep dives to quantify the impact of infrastructure changes on user experience and business outcomes.
Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering partners.

What we're looking for

Master’s degree in Statistics, Applied Math, Biostatistics or equivalent experience.
Strong SQL and analytical programming skills with experience handling imperfect data.
Experience building production-ready data pipelines and improving data quality.
Solid foundation in experimentation design and rigorous result interpretation.
Ability to translate complex technical problems into clear analyses and recommendations.
Strong cross-functional communication skills for explaining technical findings effectively.

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