Data Scientist (exp in Marketing analytics) at Visa

Role Overview We are seeking a Marketing Data Analyst to support our first-party data strategy and marketing experimentation programs. This role combines data engineering fundamentals with marketing measurement expertise to drive data-informed marketing decisions in a privacy-first environment.   Key Responsibilities Marketing Data Pipeline Development: Build and maintain data pipelines using PySpark in Hadoop environments to extract, transform, and load marketing data from internal and external platforms First-Party Measurement & Experimentation: Support A/B testing, incrementality testing, and geo-based experiments to measure true marketing lift; prepare and maintain data pipelines for Marketing Mix Modeling (MMM) initiatives CRM & CDP Analytics: Manage data flows between CRM systems and Customer Data Platforms; build audience segments, support personalization efforts, and maintain unified customer profiles Data Quality & Governance: Develop data quality frameworks with automated validation checks and anomaly detection; ensure data accuracy and support privacy compliance requirements (GDPR, CCPA) Analytics & Reporting: Create automated workflows for campaign reporting and marketing performance dashboards; build analytics tools that provide insights into customer acquisition, ROI, and campaign effectiveness Cross-functional Collaboration: Partner with Marketing, Insights & Analytics team,  Data Science, and other functions to translate requirements into technical solutions; define audience segmentation and measurement requirements for campaign delivery Required Skills • Strong programming skills in Python with experience in PySpark and Spark SQL • Advanced SQL knowledge for complex data manipulation and analytics • Experience with Hadoop ecosystem components (HDFS, Hive, YARN) • Familiarity with data orchestration tools (Airflow, Oozie, or similar) • Understanding of experimentation methodologies: A/B testing, incrementality testing, and lift measurement • Knowledge of first-party data strategies and privacy-compliant measurement approaches • Experience with data visualization tools (Tableau, Power BI) • Strong problem-solving abilities and analytical thinkingThis is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.