Senior Data Scientist, Infrastructure

Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business.

We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions.

What you’ll do:

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.

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.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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