Overview
Pinterest is seeking a Data Scientist to join its Infrastructure Data Science team. The role involves partnering with engineering and cross-functional teams to improve the measurement, understanding, and optimization of Pinterest’s infrastructure.
Key Responsibilities
- Define, measure, and enhance the health, quality, and efficiency of infrastructure systems in collaboration with engineering teams.
- Build and refine metrics, dashboards, and analytical frameworks to make complex technical systems understandable and actionable.
- Improve data foundations by auditing data quality and contributing to measurement improvements.
- Design and analyze experiments to quantify the impact of infrastructure changes on user experience and reliability.
- Translate ambiguous technical problems into clear analyses and actionable recommendations.
- Support investigations related to infrastructure performance, reliability, cost, and measurement quality.
- Identify opportunities to optimize infrastructure measurement across domains.
Requirements
- Master's degree in Statistics, Applied Math, Biostatistics, or equivalent experience.
- Strong SQL and analytical programming skills.
- Experience contributing to production-ready data pipelines and measurement systems.
- Solid foundation in experimentation, with ability to conduct rigorous analyses.
- Ability to communicate technical findings clearly to various stakeholders.
- Capable of operating independently and managing fast-paced work environments.
- Curiosity and a builder mindset towards improving systems and measurement foundations.
Benefits
Details about culture and benefits can be found on the company's page.
Location
This position is remote but requires in-person collaboration 1-2 times per quarter within the US.
How to Apply
Interested applicants should submit their application through the provided link.
Deadline
No deadline mentioned.