Infrastructure Data Scientist II - Remote Impact & Analytics

Coinscapture; Northern (KY); Remote; USD 114,000 - 235,000; Full time

Job summary

Pinterest is seeking a Data Scientist II for Infrastructure Data Science to partner with engineering and cross-functional teams to make infrastructure measurable, intelligible, and actionable. You’ll help build data foundations, metrics, and experiments to improve reliability and performance in a remote-first environment.

You’ll translate ambiguous problems into analyses, design experiments, and contribute to production data pipelines and dashboards, with a Master’s in a quantitative field and

Qualifications

• Master's degree in a quantitative field or equivalent experience.
• Strong SQL and data analysis skills.
• Experience building production data pipelines and metrics.

Responsibilities

• Partner with engineering and cross-functional teams to measure and improve infrastructure health and efficiency.
• Build metrics dashboards and analytical frameworks.
• Improve metric definitions and data quality; contribute to pipelines.
• Design experiments to quantify infrastructure changes impact on user experience, reliability, and business outcomes.
• Translate ambiguous problems into clear analyses and actionable recommendations.
• Support investigations into performance, reliability, cost, and measurement quality.
• Identify opportunities to optimize infrastructure across domains such as performance, governance, and site reliability.

Skills

SQL and analytical programming

Data pipelines & metrics

Experimentation & measurement

Cross-functional communication

Education

Master's degree in Statistics/Applied Math/Biostatistics

Tools

Python

ETL pipelines

BigQuery

Job description

Pinterest is seeking a Data Scientist II for Infrastructure Data Science to partner with engineering and cross-functional teams to make infrastructure measurable, intelligible, and actionable. You’ll help build data foundations, metrics, and experiments to improve reliability and performance in a remote-first environment.

You’ll translate ambiguous problems into analyses, design experiments, and contribute to production data pipelines and dashboards, with a Master’s in a quantitative field and