Data Scientist II, Experimentation

Pinterest • San Francisco, CA

2d • Remote

About The Position

Pinterest is seeking a data scientist with a strong background in experimentation and statistical analysis to help improve and iterate on its experimentation platform. The successful candidate will play a key role in improving experiment processes at scale, leveraging their expertise to drive innovation and ensure that Pinterest users receive thoroughly data-driven features. With thousands of experiments running concurrently, the magnitude of operations presents a significant opportunity for impact. This role requires a strategic mindset, proven experience in experimental design and analysis, and a passion for driving results to shape the future of experimentation.

Requirements

• PhD in a relevant field (stats, applied math, biostatistics, etc…) OR 2+ years of hands-on experience working as a data scientist or applied scientist.
• Experience working directly on experimentation problems and an awareness of state of the art methodologies.
• The ability to write clean, efficient, and scalable code that can be easily maintained and extended by other team members.
• Proficiency in software development best practices, including version control systems such as Git, to ensure efficient collaboration, code management, and reproducibility in a data science environment.
• Familiarity with workflow management tools such as Apache Airflow to create and schedule data pipelines, allowing for automated and reliable execution of machine learning workflows.

Responsibilities

• Comb through the literature in experimentation to identify potential methodologies that can improve parts of our platform where we have the biggest opportunities.
• Make the process of setting up, running and evaluating experiments smoother and more repeatable for our platform users, ensuring that decisions are risk-aware and consistent.
• Write workflows to make our vast experimentation meta-data able to be leveraged by our team and outside of our team to better understand the experimentation landscape.
• Consult with product data science teams to debug, design or improve their experiments and experimentation process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree