Data Scientist II, Infrastructure

Навыки

• Коммуникация
• Data Quality
• SOLID и паттерны
• SQL

О компании и продукте

• Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
• Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
• At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
• Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .

Задачи

• 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

Требования

• 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

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