Sr. Data Scientist, Performance Marketing

About the role

Multinational platform Pinterest aims to inspire users to create lives they love through creative ideas and planning. We seek a Senior Data Scientist to enhance our marketing strategies and drive user growth.

Responsibilities

• Conduct deep strategic analysis to measure and optimize marketing tactics and investments.
• Build and deploy statistical and machine learning models to inform marketing strategies and audience targeting.
• Collaborate with cross-functional partners to address business problems and evolve experimentation capabilities.
• Identify and track key metrics, and translate complex findings into actionable insights for stakeholders.
• Design and maintain dashboards and automated reporting tools for data-driven decision-making.
• Develop and optimize ETL data pipelines for analytical models and feature engineering.

Requirements

• 5+ years of combined post-graduate academic and industry experience in applying scientific methods to solve real-world problems.
• A Master's degree in a quantitative field such as mathematics, statistics, computer science, or engineering.
• Hands-on experience building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
• Expertise in at least one scripting language (ideally Python/R) and proficiency in SQL/Hive.
• Strong business and product sense, ability to shape vague questions into well-defined analyses and success metrics.
• Excellent communication skills, able to lead initiatives and communicate findings to leadership and cross-functional teams.
• Experience leading key technical projects and strong experimentation background.
• Statistical rigor, experience with causal inference projects.

Qualifications

• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
• A Master's degree in a quantitative field such as mathematics, statistics, computer science, or engineering.
• Hands-on experience building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
• Expertise in at least one scripting language (ideally Python/R) and proficiency in SQL/Hive.
• Strong business and product sense, ability to shape vague questions into well-defined analyses and success metrics.
• Excellent communication skills, able to lead initiatives and communicate findings to leadership and cross-functional teams.
• Experience leading key technical projects and strong experimentation background.
• Statistical rigor, experience with causal inference projects.

Skills

• Strong background in statistics and quantitative analysis.
• Expertise in at least one scripting language (Python/R).
• Proficiency in SQL/Hive.
• Strong business and product sense.
• Excellent communication skills.
• Experience leading key technical projects.
• Statistical rigor, experience with causal inference projects.

Benefits

No specific benefits mentioned in the job posting.

Pay

$139,764—$287,749 USD

Schedule

The role requires in-office collaboration 1-2 times per quarter.