Data Scientist II, Experimentation

Pinterest; San Francisco (CA); On-site; USD 114,297 - 235,319; Full time

Job summary

Pinterest is seeking a Data Scientist in San Francisco to enhance their experimentation platform and drive innovation through statistical analysis. The successful candidate will improve experiment processes at scale, joining a collaborative team in a dynamic environment.

Applicants should possess a PhD in a relevant field or equivalent experience. The position offers a salary range of $114,297—$235,319 USD based on experience and capabilities. Work requires infrequent in-office collaboration.

Qualifications

• Strong background in experimentation focusing on method improvement.
• Experience in experimental design and statistical analysis.
• Ability to write clean and maintainable code.

Responsibilities

• Identify methodologies to enhance experimentation.
• Improve processes for setting up and evaluating experiments.
• Consult with teams to optimize the experimentation workflows.

Skills

Experimentation

Statistical analysis

Programming

Data pipelines

Collaboration

Education

PhD in relevant field or 2+ years experience

Tools

Apache Airflow

Git

Job description

We are seeking a 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.
• 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 we’re looking for

• PhD in a relevant field (stat, 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.

In‑Office Requirement Statement

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day‑to‑day can vary based on the needs of each organization or role.
• This role will need to be in the office for in‑person collaboration 1‑2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

US based applicants only

$114,297—$235,319 USD

Our Commitment to Inclusion

Pinterest is an equal‑opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.