Data Scientist - Platform Infrastructure

Experteer Overview You will advance the Global Brand Data Science team’s mission to boost marketing efficiency and impact through scalable data platforms, robust measurement, and actionable insights. You’ll work with cross-functional partners to design and operationalize data assets, support global campaigns, and enable self-serve analytics. This role focuses on building data infrastructure, reliable pipelines, and governance to connect marketing touchpoints with outcomes. It’s an opportunity to shape measurement at scale and influence strategic decisions across the organization. Compensation / Benefits * Scale and maintain a unified data infrastructure to support global campaign experimentation and measurement * Design, build, and manage end-to-end ETL pipelines transforming ads, creative, and user interaction data into analysis-ready datasets * Develop core data models and analytical schemas including standardized tables and derived metrics * Establish tracking foundations: exposure tracking, identity resolution, URL parameter frameworks * Oversee data infrastructure governance and resource management (e.g., HDFS/YARN queues, efficient resource allocation) * Ensure data quality, reliability, and governance with validation and monitoring for pipelines and datasets * Build and maintain internal data tools, dashboards, and data services to improve efficiency and cross-functional alignment * Collaborate with marketing, product, research, and engineering to align data definitions and platform capabilities Tasks * Master’s degree in a quantitative discipline * 3+ years in data science roles within business strategy, marketing, finance, engineering, or analytics * Strong expertise in hypothesis testing and A/B testing methodologies * Proficiency in SQL and Python or R for analysis and pipelines * Experience designing, maintaining, and optimizing reporting dashboards and data pipelines * Experience translating data findings for non-technical stakeholders into strategic recommendations Key requirements *

tracking, identity resolution, URL parameter frameworks * Oversee data infrastructure governance and resource management (e.g., HDFS/YARN queues, efficient resource allocation) * Ensure data quality, reliability, and governance with validation and monitoring for pipelines and datasets * Build and maintain internal data tools, dashboards, and data services to improve efficiency and cross-functional alignment * Collaborate with marketing, product, research, and engineering to align data definitions and platform capabilities Tasks * Master’s degree in a quantitative discipline * 3+ years in data science roles within business strategy, marketing, finance, engineering, or analytics * Strong expertise in hypothesis testing and A/B testing methodologies * Proficiency in SQL and Python or R for analysis and pipelines * Experience designing, maintaining, and optimizing reporting dashboards and data pipelines * Experience translating data findings for non-technical stakeholders into strategic aaaa measurement Key requirements *