Senior Data Scientist, Infrastructure

Pinterest; San Francisco (CA); On-site; USD 140,000 - 288,000; Full time

Job summary

Pinterest is seeking a Data Scientist to join the Infrastructure Data Science team in San Francisco. You will partner with engineering and cross-functional teams to make Pinterest’s infrastructure measurable, intelligible, and actionable, spanning app performance, metrics quality, and site reliability.

You will build data foundations, measurement systems, and analytical frameworks to optimize core systems and inform product and infrastructure decisions with rigorous experimentation and analysis.

Qualifications

• 4+ years of combined post-graduate academic and industry experience applying scientific methods to large-scale data.
• Bachelor’s/Master’s degree in CS or equivalent.
• Strong SQL and analytical programming skills for messy data and reliable metrics.
• Experience contributing to production-ready data pipelines and measurement systems.
• Solid foundation in experimentation and measurement; able to design analyses and interpret results.
• Strong cross-functional communication to explain findings to engineers and stakeholders.
• Ability to translate ambiguous problems into analytical workstreams.
• Independent, proactive with a builder mindset.

Responsibilities

• Partner with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure.
• Build and refine metrics, dashboards, and analytical frameworks that make complex systems more understandable.
• Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipelines and measurement improvements.
• Design and analyze experiments to quantify impact of infrastructure changes on user experience, reliability, and business outcomes.
• Translate ambiguous technical problems into clear analyses and recommendations for engineering teams.
• Support high-priority investigations and decisions on infrastructure performance, reliability, cost, and measurement quality.
• Identify opportunities to improve infrastructure measurement across domains like performance, governance, and site reliability.

Skills

SQL

Analytical programming

Cross-functional collaboration

Independent work

Builder mindset

Education

Bachelor’s/Master’s in CS or equivalent

Job description

About Pinterest

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 and 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.

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.

We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions.

What you’ll do

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.

What we’re looking for

• 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.

In-Office Requirement Statement

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• 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. Visit our PinFlex page to learn more about our working model.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$139,764 — $287,749 USD

Our Commitment to Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.