Staff Data Scientist, Ads Product

About the role

Millions of people come to Pinterest to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. Join us to help bring everyone the inspiration to create a life they love.

Responsibilities

• Drive Ads Product Strategy: Identify opportunities, generate insights, and drive data-driven decision-making aligned with the organization's strategic objectives.
• Translate Complex Business Needs into Data Solutions: Partner with product, engineering, and business stakeholders to understand challenges and structure analytical problems.
• Ensure Data Trustworthiness and Quality: Establish and uphold high standards for data integrity, consistency, and reliability in all analytical outputs.
• Be a Strategic Thought Partner: Anticipate future product needs and identify impactful questions that data can answer, acting as a key advisor to Product Managers, Engineering leaders, and other partners.
• Connect Financial & Product Performance: Serve as a key liaison with BizOps, Finance, and other Strategy teams, connecting revenue performance data with product actions and performance metrics.
• Communicate for Impact: Articulate complex data findings and strategic insights clearly and concisely to both technical and non-technical senior stakeholders.
• Elevate Data Science Practices: Share best practices in data analysis, strategic thinking, and effective communication, contributing to a culture of continuous learning and data excellence.

Requirements

• 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.
• Proven ability to influence cross-functional partners and senior leadership through compelling data narratives and strategic insights.
• Proficiency in SQL, Python, and experience with data visualization tools (e.g., Tableau, Looker).

Qualifications

• Experience in a fast-paced tech environment.
• Ability to work independently and collaboratively.
• Strong problem-solving and analytical skills.
• Excellent communication and presentation skills.

Skills

• Data Analysis
• Data Visualization
• Data Modeling
• Data Interpretation
• Data Strategy
• Data Governance
• Data Engineering
• Data Science
• Data Management
• Data Privacy
• Data Security
• Data Ethics
• Data Compliance
• Data Governance
• Data Visualization
• Data Storytelling
• Data Communication
• Data Collaboration
• Data Leadership
• Data Innovation
• Data Excellence

Benefits

• Flexible Work Schedule
• Remote Work Option
• Health Insurance
• Retirement Plans
• Employee Assistance Programs
• Professional Development Opportunities
• Work-Life Balance
• Company Culture

Pay

• $164,695—$339,078 USD

Schedule

• In-office 1-2 times per quarter