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Pinterest

Staff Data Scientist, Ads Product

Pinterest · San Francisco, CA, US; Seattle, WA, US

Posted about 2 months ago

or apply directly on Pinterest's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Pinterest's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Pinterest's roles list one
Ghost-job risk at Pinterest
high
160 stale, 10 reposted of 190 open
Hiring momentum
330 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Pinterest's own greenhouse board since 2026-08-03. Full hiring picture for Pinterest.

About this role

In this role as a Staff Data Scientist for Ads Product at Pinterest, you will be responsible for driving data-driven decision-making and shaping the Ads product strategy. You will collaborate with various stakeholders to translate business needs into data solutions, ensure data quality, and communicate insights effectively to influence strategy. Additionally, you'll act as a thought partner, connecting financial and product performance while elevating data science practices within the team.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Pinterest as an employer.

What you need

  • Bachelor’s/Master’s degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or equivalent practical experience
  • 8+ years of combined post-graduate academic and industry experience applying advanced analytical methods to solve complex, real-world business problems on large-scale data, preferably within a fast-paced tech environment
  • Exceptional business acumen and product sense, with a proven ability to translate strategic questions into analytical frameworks and actionable recommendations
  • Understanding of the ads ecosystem, monetization mechanics, and/or real-time bidding, with a strong interest in the financial aspects of these domains
  • Expertise in data democratization principles, including experience designing and maintaining foundational datasets and building comprehensive business intelligence solutions
  • Strong fundamentals in statistics and experimentation, with the ability to interpret and apply insights from various causal inference techniques

What you get

  • Base salary range of $164,695 — $339,078 USD
  • Eligible for equity

Worth weighing

  • Position not eligible for relocation assistance
  • In-office requirement of 1 day per week for collaboration, must be in commutable distance from San Francisco, Seattle, or Palo Alto
  • Final salary based on factors including location, travel, relevant prior experience, or particular skills and expertise

Summarised from Pinterest's posting. Read the full original.

Listed by Pinterest on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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