Sr. Data Scientist, Infrastructure

What you'll do

• 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 domains such as performance, shopping infrastructure, governance, metrics quality, and site reliability.

What we're looking for

• 4+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems with large-scale data.
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, 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.