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Staff Data Scientist, Ads Delivery

Pinterest operates a digital platform that helps users around the world discover ideas, plan projects, and find inspiration. The company is currently hiring a Staff Data…

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Role Snapshot

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Salary

Undisclosed

Department

General

Employment

Full-time

Experience

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Published16d ago
Listing Views18
Applications0
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About This Role

Pinterest operates a digital platform that helps users around the world discover ideas, plan projects, and find inspiration. The company is currently hiring a Staff Data Scientist for its Ads Delivery team to shape consumer-facing and business-facing product offerings. In this position, the professional will apply quantitative modeling, experimentation, and algorithmic expertise to address complex engineering tasks. The chosen candidate will partner closely with engineering, product, design, research, and data…

Job Description

Pinterest operates a digital platform that helps users around the world discover ideas, plan projects, and find inspiration. The company is currently hiring a Staff Data Scientist for its Ads Delivery team to shape consumer-facing and business-facing product offerings. In this position, the professional will apply quantitative modeling, experimentation, and algorithmic expertise to address complex engineering tasks. The chosen candidate will partner closely with engineering, product, design, research, and data analytics groups to enhance product development and bring scientific rigor to real-world applications utilized by hundreds of millions of users.

This role suits an experienced data scientist who excels at evaluating full-funnel opportunities and risks within web-scale architectures. The individual will design machine learning and evaluation frameworks, champion rigorous experimentation, and mentor both junior and senior scientists. Pinterest requires this employee to work from the San Francisco, Palo Alto, or Seattle office for in-person collaboration one to two times per week, making it necessary for applicants to live within commutable distance of these locations.

Pinterest maintains an equal opportunity policy and evaluates all candidates based on merit without regard to protected characteristics. US-based applicants can expect a base salary range between $164,695 and $339,078 USD, alongside eligibility for equity. Relocation assistance is not offered for this position.

Responsibilities

  • Analyze Pinterest ads delivery to measure full-funnel risks and opportunities
  • Lead projects addressing ads delivery across various funnel stages
  • Build and productionize evaluation and machine learning frameworks covering forecasting, causal inference, and recommendations
  • Promote rigorous instrumentation, metric design, and experimentation while linking proxy metrics to long-term business results
  • Partner with cross-functional teams including design, engineering, research, business, and product to turn data questions into business insights
  • Mentor senior and junior scientists to foster technical excellence and intellectual curiosity

Requirements

  • Ten or more years of hands-on background working in web-scale data environments
  • Proficiency in statistical modeling, causal inference, machine learning, and product strategy
  • Coding capability in Python or R alongside advanced SQL and Spark skills
  • Capacity to work in-person from the Seattle, San Francisco, or Palo Alto office one to two days per week

Qualifications

  • Bachelor or Master degree in Computer Science or a related field, or equivalent experience

Core Skills

Benefits

  • Equity eligibility

Frequently Asked Questions

What is the salary range for the Staff Data Scientist position?

The base salary range for US-based applicants is $164,695 to $339,078 USD, and the position is also eligible for equity.

Where is this job located?

This role requires working in-person 1 to 2 times per week and must be based within commutable distance of Pinterest offices in San Francisco, Palo Alto, or Seattle.

Does Pinterest offer relocation assistance for this role?

No, this position is not eligible for relocation assistance.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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