Sr. Data Scientist, Marketing

About the role

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Responsibilities

• Analyze advertiser behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention and churn.
• Lead the design, implementation, and continuous improvement of 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 (LTV) models—to optimize marketing strategies and enhance audience targeting.
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives.
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities.
• Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.

Requirements

• 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams, especially non-technical audiences.
• Explains work and thought processes clearly and concisely.
• Hands-on experiences with 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).
• Proficiency in SQL/Hive.
• Ability to write efficient SQL queries.
• Strong business and product sense.
• Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
• Experience leading key technical projects.
• Strong Experimentation background.
• Statistical rigor.
• Experience with causal inference projects.

Qualifications

• Experience in a similar role.
• Knowledge of marketing analytics tools and platforms.
• Experience with data visualization tools.
• Experience with A/B testing and experimentation.
• Experience with machine learning and predictive modeling.
• Experience with data warehousing and ETL processes.

Skills

• Data analysis and interpretation.
• Statistical modeling and machine learning.
• SQL and data warehousing.
• A/B testing and experimentation.
• Data visualization.
• Project management and team collaboration.

Benefits

At Pinterest, we offer a competitive compensation package, including a base salary range of $139,764—$287,749 USD, along with equity. We also provide comprehensive benefits, including health insurance, retirement plans, and paid time off. Our commitment to diversity, equity, and inclusion is reflected in our culture and practices, and we strive to create an environment where every employee feels valued and empowered to reach their full potential.

Pay

$139,764—$287,749 USD

Schedule

In-office requirement: 1-2 times per quarter.

Relocation Statement

This position is not eligible for relocation assistance.