Sr. Data Scientist, Infrastructure
$139,764–$287,749 year
RemoteSan Francisco, California, United States
Job Summary
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. 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 related to infrastructure performance, reliability, cost, and measurement quality. This role spans app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. Requires 4+ years of experience with strong SQL and analytical programming skills. In-office requirement is 1-2 times per quarter; position is eligible for equity.
Required Qualifications
- 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
- This role will need to be in the office for in-person collaboration 1-2 times/quarter
- US based applicants only
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.