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Sr. Data Scientist, Monetization

Pinterest operates a digital platform where users discover creative ideas and plan projects. The company is currently hiring a Sr. Data Scientist, Monetization to join its…

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Role Snapshot

Hiring Now

Remote from

San Francisco

Salary

Undisclosed

Department

General

Employment

Full-time

Experience

Not specified

Published16d ago
Listing Views21
Applications0
Apply BeforeNo deadline

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About This Role

Pinterest operates a digital platform where users discover creative ideas and plan projects. The company is currently hiring a Sr. Data Scientist, Monetization to join its Monetization Engineering division in San Francisco. This on-site role involves taking end-to-end ownership of data products within the advertising ecosystem, shaping strategy through analysis, and collaborating across various functions. This position suits an experienced data professional who can independently handle strategic analysis, opportunity sizing,…

Job Description

Pinterest operates a digital platform where users discover creative ideas and plan projects. The company is currently hiring a Sr. Data Scientist, Monetization to join its Monetization Engineering division in San Francisco. This on-site role involves taking end-to-end ownership of data products within the advertising ecosystem, shaping strategy through analysis, and collaborating across various functions.

This position suits an experienced data professional who can independently handle strategic analysis, opportunity sizing, segmentation modeling, and experimental design. Responsibilities include conducting deep strategic evaluations on metric changes and programmatic ad load, building segmentation models to influence pricing strategies, creating and tracking success metrics, and mentoring other data scientists. Candidates should possess a strong background in statistics and experimentation, along with specific domain knowledge in advertising, ecosystems, or real-time bidding.

The base salary range spans from $164,428 to $287,749 USD, and the position is also eligible for equity. Please note that relocation assistance is not available for this role, and applicants must be based in the United States. Pinterest is an equal opportunity employer that evaluates candidates on merit without regard to protected characteristics.

Responsibilities

  • Conduct strategic analyses to assess metric changes and evaluate overall impacts within the ads ecosystem
  • Perform opportunity sizing and analyze programmatic ad load adjustments
  • Develop segmentation models to evaluate supply and guide pricing strategy
  • Design measurement strategies, advise on experimentation best practices, and build analysis tools
  • Identify and track success metrics for engineering teams by segmenting high-level measures
  • Lead and mentor the scope of work for peer data scientists while delivering constructive feedback

Requirements

  • 5 or more years of combined post-graduate academic and industry experience applying scientific methods to web-scale data
  • Strong fundamentals in statistics and experimentation
  • Domain knowledge in ecosystem, ads, or real-time bidding
  • Proficiency in SQL, Hive, and Python

Qualifications

  • Bachelor's or Master's degree in Data Science or a relevant field, or equivalent experience

Core Skills

Benefits

  • Eligible for equity

Frequently Asked Questions

Where is this job located?

This position is located in San Francisco and is an on-site role, though the posting mentions visiting their PinFlex page to learn more about the working model and notes that relocation assistance is not available.

What is the salary range for the Sr. Data Scientist, Monetization?

The base salary range is $164,428 to $287,749 USD, and the position is also eligible for equity. Final compensation depends on factors such as location, travel, relevant experience, and specific skills.

What experience is required for this role?

Candidates must have at least 5 years of combined post-graduate academic and industry experience applying scientific methods to web-scale data, along with strong statistics fundamentals and domain knowledge in ads, ecosystem, or real-time bidding.

Is relocation assistance provided?

No, this position is not eligible for relocation assistance.

Sample Interview Questions

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