Data Scientist II

About The CompanyMillions of people around the world come to Pinterest to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, we are on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. We foster an environment where innovation is ignited for millions, passions are transformed into growth opportunities, and diverse experiences are celebrated. Our culture emphasizes flexibility, collaboration, and a shared commitment to making a positive impact. Creating a career you love is possible here, as we strive to build a workplace that supports your growth and success.About The RoleWe are seeking a talented Data Scientist to join our marketing organization. In this role, you will introduce greater scientific rigor into marketing measurement and optimization processes to shape Pinterest’s revenue growth and marketing strategy. Your work will influence strategic decisions, helping identify investment opportunities for growth, understanding revenue behavior, and defining key metrics to expand and sustain our advertiser base. You will collaborate with cross-functional teams including Marketing, Product, Engineering, and Analytics to address a wide range of business challenges. The position is focused on supporting marketing efforts aimed at driving revenue growth, requiring a combination of analytical expertise, strategic thinking, and effective communication skills.Qualifications5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problemsMaster’s degree in a quantitative field such as mathematics, statistics, computer science, or engineeringHands-on experience building marketing measurement solutions to quantify the impact of marketing tactics and investmentsStrong background in statistics and quantitative analysis, with expertise in advanced statistical techniquesProficiency in at least one scripting language (Python or R) and SQL/Hive for data querying and analysisExcellent business and product sense with the ability to translate vague questions into well-defined analyses and success metricsStrong communication skills to effectively present findings and strategic recommendations to stakeholders and leadershipExperience leading key technical projects and initiativesBackground in experimentation and causal inference methodologiesResponsibilitiesDesign, implement, and continuously improve advanced marketing measurement frameworks and statistical models to evaluate marketing ROIBuild and deploy models such as propensity, forecasting, and lifetime value (LTV) to optimize marketing strategies and audience targetingDevelop and refine attribution methodologies to assess the effectiveness of marketing initiatives across multiple channelsAssess incremental impacts of marketing activities using causal inference techniques and testing frameworksConduct strategic analyses to address key business questions, including marketing ROI improvement, budget allocation, and market expansion opportunitiesTranslate complex analytical insights into clear, actionable recommendations for both technical and non-technical stakeholdersDesign, maintain, and promote dashboards and automated reporting tools to enable data-driven decision-makingBuild and optimize ETL data pipelines to automate reporting, facilitate deep dive analyses, and support feature engineering for modelsBenefitsCompetitive salary package aligned with experience and skillsFlexible work environment with remote working optionsComprehensive health, dental, and vision insurance plansPaid time off and holiday leave to support work-life balanceOpportunities for professional development and continuous learningInclusive and diverse workplace culture that values innovation and collaborationEqual OpportunityPinterest 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 without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, veteran status, disability, or any other protected characteristic. We also consider qualified applicants regardless of criminal history, in accordance with applicable laws.