Sr. Data Scientist, Infrastructure

Salary: $139,764 - 287,749 per year Requirements:

• Were looking for 4+ years of combined post-graduate academic and industry experience using scientific methods to solve real-world problems with large-scale data.
• We require a bachelors or masters degree in a relevant discipline such as Computer Science, or equivalent practical experience.
• We need strong SQL and analytical programming skills, along with experience handling messy, imperfect data and turning it into reliable metrics and datasets.
• We value experience contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability.
• Were seeking a solid grounding in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and collaborate effectively with engineers and other cross-functional partners.
• We want someone who can convert ambiguous problems into structured analytical workstreams and clear, actionable recommendations.
• Were looking for strong cross-functional communication skills and the ability to explain technical findings clearly to engineering, product, and platform stakeholders.
• We need someone who can work independently, prioritize across long-term initiatives and fast-moving inbound requests, and keep work progressing in a dynamic environment.
• Were looking for curiosity and a builder mindset, with enthusiasm for improving messy systems and creating scalable, trustworthy measurement foundations.

• We partner with engineering teams to define, measure, and improve the health, quality, and efficiency of our infrastructure systems.
• We build and refine metrics, dashboards, and analytical frameworks that make complex technical systems easier to understand and act on.
• We strengthen our data foundations by improving metric definitions, auditing data quality, and supporting pipeline and measurement enhancements where needed.
• We design and analyze experiments, investigations, and deep dives to measure the impact of infrastructure changes on user experience, reliability, and business outcomes.
• We translate ambiguous technical challenges into clear analyses and actionable recommendations for engineering and platform partners.
• We support high-priority investigations and decision-making around infrastructure performance, reliability, cost, and measurement quality.
• We identify opportunities to improve how we measure and optimize infrastructure across areas such as performance, shopping infrastructure, governance, metrics quality, and site reliability.

• Support
• SQL
• AI
• DevOps

More:

We are Pinterest, where millions of people come to discover creative ideas, imagine new possibilities, and plan for meaningful moments. Our mission is to inspire everyone to create a life they love, and we believe that starts with the people behind the product. We are hiring a Data Scientist for our Infrastructure Data Science team to help make our infrastructure more measurable, understandable, and actionable across performance, reliability, measurement quality, and related domains. This role is remote within the country, with in-person collaboration needed 1–2 times per quarter, and it is not eligible for relocation assistance. We offer equity and a competitive base salary, and were committed to building an equitable, inclusive, and inspiring workplace where our team can do their best work.

last updated 33 week of 2026