Sr. Data Scientist, Infrastructure
About the role
Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business.
Responsibilities
- 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.
Requirements
- 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.
Qualifications
- Master’s/MBA in Computer Science, Statistics, Engineering, or a related field.
- Experience with data analysis, machine learning, and statistical modeling.
- Knowledge of data warehousing technologies, such as Redshift, BigQuery, or Snowflake.
- Experience with data visualization tools, such as Tableau, Power BI, or D3.js.
- Experience with cloud platforms, such as AWS, Google Cloud, or Azure.
- Experience with Python, R, or other programming languages commonly used in data science.
- Experience with data engineering tools, such as Apache Spark, Flink, or Airflow.
Skills
- Data analysis and interpretation.
- SQL and other database management skills.
- Machine learning and statistical modeling.
- Data visualization and reporting.
- Data engineering and pipeline development.
- Cloud computing and infrastructure management.
- Collaboration and communication with cross-functional teams.
Benefits
At Pinterest, we offer a competitive compensation package, including a base salary range of $139,764—$287,749 USD, along with equity and benefits that align with our commitment to employee well-being. We also provide a comprehensive benefits package, including health insurance, retirement savings plans, and paid time off.
Pay
$139,764—$287,749 USD
Schedule
In-office requirement statement: This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement
This position is not eligible for relocation assistance.