Data Scientist II

About Pinterest 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.

We are looking for a Data Scientist to join our marketing organization. As a Data Scientist, you will introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest’s revenue growth and marketing strategy. Your work will influence strategic decisions, identify investment opportunities for growth, understand revenue behavior, and define key metrics to grow and sustain our advertiser base. You will collaborate with cross-functional teams across Marketing, Product, engineering, Analytics, and more to solve a wide array of business problems.

This role is within the Marketing team and focuses on supporting business marketing efforts aimed at driving revenue growth for Pinterest. You will play a critical role in designing and implementing advanced measurement frameworks, building predictive models, and translating complex data insights into actionable strategies that enhance our marketing effectiveness and business outcomes.

About The Role The Data Scientist will lead the development and continuous improvement of marketing measurement frameworks and statistical models to evaluate marketing ROI across various channels, including paid media, organic social, email campaigns, in-person events, webinars, and e-learning platforms. You will build and deploy machine learning models such as propensity, forecasting, and lifetime value models to optimize marketing strategies and improve audience targeting. Additionally, you will develop attribution models to accurately assess the impact of marketing initiatives across multiple channels and employ causal inference techniques to evaluate incremental effects of marketing activities.

Strategic analysis will be a key component of your role, addressing questions like how to improve marketing ROI, optimize budget allocation, and identify new opportunities for advertiser growth and revenue. You will translate complex analytical findings into clear, strategic insights for both technical and non-technical stakeholders, including senior leadership. Your responsibilities will also include designing dashboards, automating reporting processes, and building scalable ETL data pipelines to support ongoing analysis and feature engineering for models. Your work will empower stakeholders with data-driven decision-making tools and insights that drive business success.

Qualifications

• 5+ years of combined academic and industry experience applying scientific methods to solve real-world problems.
• Master’s degree in a quantitative field such as mathematics, statistics, computer science, or engineering.
• Hands-on experience building marketing measurement solutions to quantify business impact.
• Strong background in statistics and quantitative analysis, with experience in advanced statistical techniques.
• Proficiency in scripting languages such as Python or R.
• Expertise in SQL and Hive, with the ability to write efficient queries.
• Strong business and product sense, with the ability to translate vague questions into well-defined analyses and success metrics.
• Excellent communication skills, capable of leading initiatives and presenting findings to leadership and cross-functional teams.
• Experience leading key technical projects and a strong background in experimentation and causal inference.

Responsibilities

• Design, implement, and continuously improve marketing measurement frameworks and statistical models to assess marketing ROI.
• Build and deploy machine learning models such as propensity, forecasting, and lifetime value models to optimize marketing efforts.
• Develop and refine attribution methodologies to evaluate marketing effectiveness across channels.
• Assess the incremental impact of marketing activities using causal inference and testing frameworks.
• Conduct strategic analyses to identify opportunities for improving marketing ROI, budget allocation, and revenue growth.
• Translate analytical insights into clear, actionable recommendations for technical and non-technical stakeholders.
• Design, maintain, and promote dashboards and automated reporting tools for self-serve, data-driven decision-making.
• Build and optimize ETL data pipelines to automate reporting and support deep dive analysis and feature engineering.

Benefits

• Competitive salary package within the range of $113,166 — $232,988 USD.
• Flexible work arrangements, including remote work options.
• Opportunity to work with a diverse and innovative team on impactful projects.
• Access to ongoing learning and professional development resources.
• Comprehensive health and wellness benefits.
• Paid time off and leave policies to support work-life balance.
• Inclusive and collaborative work environment that values diversity and equal opportunity.

Equal Opportunity

Pinterest is an equal opportunity employer and makes employment decisions based on merit. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion, sex (including pregnancy and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, protected veteran status, disability, medical condition, genetic information, or any other legally protected status. We also consider qualified applicants regardless of criminal histories, in accordance with applicable laws. If you require a medical or religious accommodation during the application process, please complete the relevant support form.