Data Scientist II, Infrastructure
Data Scientist partnering with engineering teams to measure, optimize, and improve Pinterest's infrastructure systems including performance, reliability, and metrics quality. Requires strong SQL, experimentation skills, and experience building production data pipelines and measurement frameworks.
About the job
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
- 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.
- 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.
Skills
SQL, Data Analysis, Experimentation, Data Pipelines, Metrics Development, Statistical Analysis, Dashboarding, Data Quality
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