Staff Data Scientist, Ads Product @Pinterest

Overview

The role of Staff Data Scientist at Pinterest involves contributing to the Ads organization by leveraging data for strategic decision-making and operational excellence. The position seeks an individual who can empower product, engineering, and business teams with reliable data and actionable insights.

Key Responsibilities

• Drive Ads Product Strategy by identifying opportunities and generating insights to support data-driven decision-making.
• Translate complex business needs into data solutions, partnering with stakeholders to provide clarity and insights.
• Ensure data trustworthiness and quality by upholding high standards in all analytical outputs.
• Act as a strategic thought partner, defining the analytical roadmap and guiding teams on actionable data initiatives.
• Connect financial and product performance by serving as a liaison with BizOps, Finance, and Strategy teams.
• Communicate complex data findings and recommendations to both technical and non-technical senior stakeholders.
• Elevate data science practices by sharing best practices and contributing to a culture of data excellence.

Requirements

• Bachelor’s/Master’s degree in a quantitative field such as Data Science, Statistics, Economics, or Business Analytics.
• 8+ years of experience applying analytical methods to solve complex business problems on large-scale data.
• Exceptional business acumen and understanding of the ads ecosystem and monetization mechanics.
• Expertise in data democratization principles and business intelligence solutions.
• Strong fundamentals in statistics and experimentation with the ability to interpret various causal inference techniques.
• Proficiency in SQL, Python, and experience with data visualization tools (e.g., Tableau, Looker).

Benefits

The position includes a salary range of $164,695 — $339,078 USD and eligibility for equity. Additional information about company culture and benefits is available on the Pinterest website.

Location

This is a remote position requiring in-office collaboration once a week, with the candidate needing to be within commuting distance of either San Francisco, Seattle, or Palo Alto.

How to Apply

Interested candidates can apply through the provided application link.

Deadline

No specific deadline mentioned.