Infrastructure Data Scientist II — Metrics & Reliability

Pinterest; California (MO); Hybrid; USD 114,000 - 235,000; Full time

Benefits offered by this job

Eligible for equity

Base salary range disclosed

Job summary

Pinterest is seeking a Data Scientist for the Infrastructure Data Science team to partner with engineering and cross-functional teams to measure, understand, and optimize Pinterest’s infrastructure. You will build metrics, dashboards, and data foundations that improve reliability and efficiency.

You will design experiments, translate ambiguous problems into analyses, and collaborate with stakeholders to deliver measurable improvements across performance, governance, and site reliability.

Qualifications

• 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.

Responsibilities

• 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 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 like performance, governance, metrics quality, and site reliability.

Skills

SQL

Analytical programming

Experimentation

Cross-functional communication

Prioritization

Curiosity/builder mindset

Education

Master's degree in Statistics/Applied Math/Biostatistics

Tools

Production-ready pipelines

Data measurement systems

Job description

Pinterest is seeking a Data Scientist for the Infrastructure Data Science team to partner with engineering and cross-functional teams to measure, understand, and optimize Pinterest’s infrastructure. You will build metrics, dashboards, and data foundations that improve reliability and efficiency.

You will design experiments, translate ambiguous problems into analyses, and collaborate with stakeholders to deliver measurable improvements across performance, governance, and site reliability.