PI

Data Scientist II, Infrastructure

pinterest· 48 open roles

Remote RemoteFull-time2 weeks ago
Salary
$114,297 - $235,319
Experience
Mid
Job Type
Full-time
Posted
2 weeks ago
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About This Role

Pinterest is seeking a Data Scientist II to join their Infrastructure Data Science team, partnering with engineering and cross-functional teams to make Pinterest's infrastructure more measurable, intelligible, and actionable. The role involves building data foundations, measurement systems, and analytical frameworks to optimize core technical systems and make better product and infrastructure decisions. The ideal candidate will have a strong foundation in statistics, applied math, or a related field, with experience in SQL, analytical programming, and data pipeline development. The position is remote with occasional in-office collaboration and offers a competitive salary range and equity.

Key ResponsibilitiesAI-extracted

  • 1
    Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest's infrastructure systems.
  • 2
    Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.
  • 3
    Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.
  • 4
    Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.
  • 5
    Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.

RequirementsAI-extracted

  • Master's 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.

Perks & BenefitsAI-extracted

Typically: health coverage
Typically: paid time off
Typically: retirement savings plan
Equity
Competitive salary range
Flexible work environment with remote and in-office collaboration options

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