Own audience modeling and data science lifecycles in advertising, turning messy datasets into client-ready insights and measurable actions.

• Navigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions
• Monitor data quality and maintain data science pipelines for client data assets, including 1PD and 3PD
• Develop, deploy, and maintain ML and AI workflows for identifying and targeting relevant audiences, including propensity/classification models
• Develop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations
• Collaborate with strategy teams to translate technical outputs into relevant business insights and recommendations
• Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement
• Develop and implement a test-and-learn roadmap to continuously refine data-driven strategies, enabling rapid optimization
• Contribute to data science team- and practice-building initiatives, e.g. presenting case studies and creating collateral around data capabilities
• Document and share optimized, reusable code with data science colleagues using Git
• Continuously innovate, staying current with the latest technological developments and applying them to current workflows