Pinterest
Posted 75 days agoVerified live 9h ago
Data Scientist II, Infrastructure
Brief overview
Remote
MastersOr in progress
$114k–$235k/yrStated range
726 H-1B approvalsDept. of Labor
231 green cardsCertified filings
SQLAnalytical programmingData pipelinesMeasurement systemsData qualityoperate independently
About the company
Pinterestpinterest.com
Operates a visual discovery engine for finding creative ideas.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.726H-1B approved
99%approval rate
155new H-1B hires
231PERM certified
$165,412median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023156
2024225
2025301
202644
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202377
202468
202569
202638
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202345
202461
2025115
202610
Top sponsored roles
Machine Learning Engineer IISoftware Engineer IISr. Machine Learning EngineerSr. Software EngineerStaff Machine Learning Engineer
Sponsored employees from
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Job description
Summary
Pinterest is a platform that inspires creativity and planning for lasting memories. They are seeking a Data Scientist to join their Infrastructure Data Science team, where the role involves partnering with engineering and cross-functional teams to enhance the measurability and optimization of Pinterest's infrastructure systems.
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
Skills
- Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, 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
Must Haves
- Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, 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
Benefits
- The position is also eligible for equity.
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
- Visit our PinFlex page to learn more about our working model.
- 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.