Data Scientist II, Experimentation

Zigsaw

Data Scientist II at Pinterest improving experimentation processes to drive product innovation. Seeking candidates with a PhD or hands-on data science experience and a passion for results.

Posted 5/19/2026full-timeSan Francisco • California • 🇺🇸 United StatesJuniorMid-Level💰 $114,297 - $235,319 per yearWebsite

Tech Stack

Tools & technologies

AirflowApache

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data scienceapplied scienceexperimentation methodologiesclean codescalable codesoftware development best practicesversion controlGitworkflow managementdata pipelines

Soft Skills

collaborationproblem-solvingcommunicationdebuggingdesign improvementrisk awarenessconsistency

Certifications

PhD in relevant field