Data Scientist II, Infrastructure

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.

As a Data Scientist, 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.

We're looking for a Master's degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience. You should have strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets.