Sr. Data Scientist - Experimentation

We are seeking a senior data scientist with a strong background in experimentation and statistical analysis to help us improve and iterate on our experimentation platform. The successful candidate will play a key role in improving our experiment processes at scale leveraging their expertise to drive innovation and help make sure that Pinterest users are receiving the most thoroughly data-driven features. With thousands of experiments running concurrently the magnitude of our operations presents a significant opportunity for impact. If you possess a strategic mindset proven experience in experimental design and analysis and a passion for driving results we invite you to join us in shaping the future of experimentation.

What you’ll do

• Comb through the literature in experimentation to identify potential methodologies that can improve parts of our platform where we have the biggest opportunities.

• Be a go-to person for review and brainstorming on challenging and novel experimentation problems which the platform can’t solve in its current state.

• 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.

What we’re looking for

• 3+ years of hands-on experience working as a data scientist or applied scientist.

• Experience working directly on experimentation problems and an awareness of

• 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.

This position is not eligible for relocation assistance.

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