Sr. Data Scientist, 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. Your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions. What you’ll do 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 4+ years of combined post‑graduate academic and industry experience applying scientific methods to solve real‑world problems with large‑scale data. Bachelor’s or 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. In‑Office Requirement The role will need to be in the office for in‑person collaboration 1–2 times per quarter and can be situated anywhere in the country. Relocation Statement This position is not eligible for relocation assistance. Benefits & Compensation US based applicants only. Salary range: $139,764—$287,749 USD. Position is also eligible for equity. Commitment to Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition or genetic information. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire. #J-18808-Ljbffr Pinterest