Data Scientist II, Experimentation

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Salary: $114,297–$235,319 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k

This role $175k

$83k most similar roles pay here $252k

This role pays more than 72% of similar roles. Most pay $126,800–$184,337 — the shaded band above. At the midpoint, this role pays about $175k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 36 open roles on FindRole.

Listed pay typically runs $164,695–$332,012 across 35 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Data Scientist II, Experimentation

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We are seeking a senior data scientist to join our dynamic team at Pinterest, focusing on enhancing and scaling our experimentation platform. This role involves identifying cutting-edge methodologies from the literature to optimize our experimental processes, ensuring they are efficient and repeatable for all users while maintaining risk awareness. You will develop workflows to manage vast amounts of meta-data, enabling better understanding and utilization across teams. Additionally, you will consult with product data science teams to improve their experiments and processes. Ideal candidates hold a PhD in statistics or related fields, or have at least two years of hands-on experience as a data scientist. Proficiency in writing clean code, software development best practices, version control systems like Git, and workflow management tools such as Apache Airflow is essential for this role.

Skills

Python SQL R Git Apache Airflow Experimentation methodologies Statistical analysis Data science frameworks Version control systems Workflow management tools Machine learning workflows Data pipelines Clean code practices Scalable code development

What you'll do

Identify methodologies from literature to enhance our experimentation platform.
Streamline and standardize the setup, execution, and evaluation of experiments.
Develop workflows to leverage vast experimentation metadata for better insights.
Consult with product data science teams to optimize their experimental processes.
Write clean, efficient code that is easily maintainable by other team members.

What we're looking for

PhD in statistics, applied math, biostatistics or 2+ years of hands-on data science experience.
Proven expertise in experimental design and analysis methodologies.
Strong ability to write clean, efficient, and scalable code for maintenance.
Proficiency in software development best practices including version control systems.
Experience with workflow management tools like Apache Airflow for automation.
Capacity to consult on experiment design and process improvement for teams.

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