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# Data Scientist II, Infrastructure

- **Company:** Pinterest
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Salary:** $114,000.0 - $235,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Computer Programming, Reliability Engineering, Standard Sql, Data Pipelines
- **Published:** August 22, 2026
- **Apply:** https://www.workingnomads.com/job/go/1808536/

## About the Role

* Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience.
 * Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets.
 * Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability.
 * Solid foundation in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and partner effectively with engineers and other cross-functional stakeholders.
 * Demonstrated ability to translate ambiguous problems into clear analytical workstreams and actionable recommendations.
 * Strong cross-functional communication skills, with the ability to explain technical findings clearly to engineering, product, and platform stakeholders.
 * Ability to operate independently, prioritize across both longer-term projects and fast-turn inbound requests, and drive work forward in a dynamic environment.
 * Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations.

## Description

In this role, you will partner closely with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure:

 * Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest's infrastructure systems.
 * Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.
 * Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements where needed.
 * Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.
 * Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.
 * Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.
 * Identify opportunities to improve how Pinterest measures and optimizes infrastructure across a range of domains, such as performance, shopping infrastructure, governance, metrics quality, and site reliability.


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