Data Scientist (Infrastructure)

Join Pinterest as a Data Scientist in the Infrastructure Data Science team. In this role, you will partner with engineering and cross-functional teams to improve the measurement, understanding, and optimization of Pinterest's infrastructure. Your work will involve defining and measuring the health and efficiency of infrastructure systems, building metrics and dashboards, and analyzing the impact of infrastructure changes on user experience and business outcomes. You should have strong cross-functional communication skills, experience with data pipelines and measurement systems, and a curiosity for improving systems. A master's degree in a relevant field and strong SQL and analytical programming skills are required.

Missions

• Collaborer avec les équipes d'ingénierie pour définir, mesurer et améliorer la santé, la qualité et l'efficacité des systèmes d'infrastructure de Pinterest.
• Construire et affiner des métriques, des tableaux de bord et des cadres analytiques qui rendent les systèmes techniques complexes plus compréhensibles et exploitables.
• Identifier les opportunités d'améliorer la manière dont Pinterest mesure et optimise l'infrastructure dans divers domaines, tels que la performance, l'infrastructure de shopping, la gouvernance, la qualité des métriques et la fiabilité du site.

Profil recherché

- Strong cross-functional communication skills, with the ability to explain technical findings clearly to engineering, product, and platform stakeholders

- Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability

- Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations

- Ability to operate independently, prioritize across both longer-term projects and fast-turn inbound requests, and drive work forward in a dynamic environment

- Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience

- 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

- Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets

- Demonstrated ability to translate ambiguous problems into clear analytical workstreams and actionable recommendations