Sr. Data Scientist, Marketing @Pinterest

Overview

Pinterest is seeking a Sr. Data Scientist to join its marketing team. The role focuses on applying scientific methods to enhance marketing measurement and optimization processes, thereby influencing revenue growth and strategic decision-making for the company.

Key Responsibilities

• Analyze advertiser behavior across the marketing funnel, identifying factors influencing acquisition, conversion, retention, and churn.
• Design and implement advanced marketing measurement frameworks and statistical models to quantify marketing ROI.
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value models.
• Refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
• Assess the incremental impact of marketing activities using causal inference techniques.
• Conduct deep analyses to address key business questions related to marketing ROI and budget allocation.
• Translate complex analytical findings into actionable insights for both technical and non-technical stakeholders.
• Design and maintain dashboards and automated reporting tools for data-driven decision-making.

Requirements

• 6+ years of combined post-graduate academic and industry experience.
• Master’s degree in mathematics, statistics, computer science, or engineering.
• Excellent communication skills and ability to lead initiatives.
• Hands-on experience with marketing measurement solutions.
• Strong background in statistics, quantitative analysis, and advanced statistical techniques.
• Expertise in at least one scripting language (ideally Python or R) and proficiency in SQL.
• Strong business sense and experience in leading technical projects.
• Background in experimentation and causal inference.

Benefits

The position offers a competitive salary range of $139,764 — $287,749 USD and eligibility for equity. For more information regarding the benefits, please refer to the company's resources.

Location

This role is remote, but requires in-office collaboration 1-2 times per quarter. Applicants must be US-based.

How to Apply

Please submit your application through the provided link in the job listing.

Deadline

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