Senior Data Scientist - AI-Driven Notifications & Growth

Pinterest Job Advertisements; San Francisco (CA); Hybrid; USD 165,000 - 339,000; Full time

Job summary

Pinterest is seeking a senior data scientist to develop measurement frameworks and ML-powered notification systems at web scale. You will partner with product, engineering, and ML leadership to prioritise projects and drive insights across the user journey.

The role emphasizes mentoring others, delivering high-quality analyses, and shaping growth strategies with compelling data narratives. This position is based in the United States with occasional in-person collaboration 1–2 times per quarter.

Qualifications

• Post-graduate training in applying scientific methods to web-scale data.
• Strong background in statistics, ML, and/or experimentation.
• Expertise in at least one scripting language (Python or R).
• Proficiency in SQL/Hive and data storytelling for leadership.

Responsibilities

• Develop measurement frameworks and metrics to drive data-driven decisions across user journeys.
• Partner with product, engineering, and ML leadership to prioritize projects and inform UX and ML systems.
• Improve machine learning models powering notifications and content.
• Mentor other data scientists and influence project scope and output.

Skills

Statistics

Machine learning

Experimentation

Python

R

SQL

Hive

Business sense

Communication

Cross-functional collaboration

Project leadership

Education

Bachelor’s/Master’s degree in Computer Science or related field

Tools

Python

R

SQL

Hive

Job description

Pinterest is seeking a senior data scientist to develop measurement frameworks and ML-powered notification systems at web scale. You will partner with product, engineering, and ML leadership to prioritise projects and drive insights across the user journey.

The role emphasizes mentoring others, delivering high-quality analyses, and shaping growth strategies with compelling data narratives. This position is based in the United States with occasional in-person collaboration 1–2 times per quarter.