[All remote jobs](https://jobicy.com/jobs.md)[![Pinterest logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/86709a608bd914b28221164e6680ebf7.jpeg)](https://jobicy.com/company/pinterest.md)[Pinterest](https://jobicy.com/company/pinterest.md) # Data Scientist II, Infrastructure Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/pinterest.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 114,297–235,319 / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished7 Oct 2026Apply before6 Nov 2026Listing views52Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Pinterest is hiring a Data Scientist II to strengthen measurement, analytics, and decision-making across its infrastructure ecosystem. The role partners closely with engineering and platform teams to improve metrics, data quality, dashboards, experimentation, and analytical frameworks related to reliability, performance, cost, and technical-system health. The successful candidate will turn ambiguous infrastructure questions and imperfect data into rigorous analyses and actionable recommendations. This is a US-based remote-flexible role requiring occasional in-office collaboration, with a strong emphasis on independent execution and clear cross-functional communication. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires strong statistical and SQL capabilities alongside an ability to understand complex infrastructure systems, improve foundational measurement, and evaluate technical changes rigorously. It also involves balancing longer-term data foundations work with urgent investigations for engineering stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$174,808US market range$120k–$220k0$242k AI insightThe disclosed annual base-salary range is $114,297 to $235,319 USD, with a midpoint of $174,808. This broad range is consistent with a US Data Scientist II role at a large technology company, where pay varies by location, experience, and specialized infrastructure analytics expertise. A representative US market base-salary range for this level is approximately $120,000 to $220,000 annually; equity may be additional. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Statistical Analysis](https://jobicy.com/jobs?search_keywords=Statistical%20Analysis.md)[Experiment Design](https://jobicy.com/jobs?search_keywords=Experiment%20Design.md)[Data Quality](https://jobicy.com/jobs?search_keywords=Data%20Quality.md)[Data Pipelines](https://jobicy.com/jobs?search_keywords=Data%20Pipelines.md)[Metrics Development](https://jobicy.com/jobs?search_keywords=Metrics%20Development.md)[Dashboarding](https://jobicy.com/jobs?search_keywords=Dashboarding.md)[Infrastructure Analytics](https://jobicy.com/jobs?search_keywords=Infrastructure%20Analytics.md)[Data Visualization](https://jobicy.com/jobs?search_keywords=Data%20Visualization.md)[Cross-Functional Communication](https://jobicy.com/jobs?search_keywords=Cross-Functional%20Communication.md) Sample interview questionsHow would you define and validate a health metric for a large-scale infrastructure service?I would first align with engineering on the service's users, failure modes, and intended decisions. I would combine leading and lagging indicators such as latency, error rate, availability, saturation, and user impact; validate source data and definitions; establish baselines and alert thresholds; and document limitations so the metric is reliable and actionable. Describe how you would assess whether an infrastructure change improved user experience. I would identify the causal pathway from the change to technical and user-facing outcomes, then select primary and guardrail metrics. Where feasible, I would use a randomized experiment; otherwise, I would use a carefully designed quasi-experimental approach, control for confounders, quantify uncertainty, and communicate both the estimated impact and limitations. What steps would you take when a dashboard metric unexpectedly changes? I would first verify freshness, lineage, query logic, and recent schema or pipeline changes before interpreting the business meaning. I would segment the movement by relevant dimensions, compare it with related metrics and operational events, identify the most likely drivers, and provide stakeholders with a concise assessment, confidence level, and recommended next actions. How do you prioritize long-term measurement improvements against urgent inbound requests? I would evaluate requests by expected impact, urgency, risk, effort, and dependency on foundational work. I would make priorities transparent with stakeholders, reserve capacity for critical investigations, and look for recurring requests that should become standardized datasets, metrics, or self-service tools. Give an example of explaining a complex technical analysis to non-data stakeholders. I would begin with the decision at hand and lead with the conclusion, magnitude of impact, and recommended action rather than methodology. I would use a simple visual or concrete comparison, explain uncertainty in plain language, and provide technical detail separately for audiences who need to validate the analysis. Opportunity details ## About this role. 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, celebrate each other’s unique experiences and embrace the [flexibility](https://www.pinterestcareers.com/our-life/pinflex/) 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](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/). 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: * 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. Relocation 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. In-Office Requirement Statement: * This position is not eligible for relocation assistance. Visit our[PinFlex](https://www.pinterestcareers.com/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. #LI-NM4 #LI-REMOTE 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](https://www.pinterestcareers.com/pinterest-life/). US based applicants only $114,297—$235,319 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. If you require a medical or religious accommodation during the job application process, please complete [this form](https://forms.gle/sS24D4WboEKUZMQK6) for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire. 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