Sr. Data Scientist, Infrastructure

4+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems with large-scale data.

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.

Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations.

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.