Associate Director, Advanced Analytics (Data Science)

Overview

The Associate Director of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with large individual- and transaction-level datasets to design and deliver best-in-class data science solutions that enable clients to identify, target, engage, and measure audiences with precision and efficiency.

Responsibilities

• Navigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions
• Maintain 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 as well as unsupervised clustering/segmentation
• Develop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations, etc.
• Collaborate with strategy teams to translate technical outputs into relevant business insights and recommendations, including client-facing discussions and dashboards
• Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement
• Contribute to data science team- and practice-building initiatives, e.g. presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects
• Independently set, communicate, and deliver against realistic expectations and timelines
• Guide the development of client data strategy and promote the adoption of data-driven processes across planning, activation, and measurement
• Proactively identify and pursue new use cases and opportunities to use data science capabilities to solve client challenges

Qualifications

• 4+ years of data science experience in advertising, marketing, or related fields, with agency experience preferred
• Advanced degree in Statistics, Data Science, or other quantitative fields preferred
• Deep theoretical and practical understanding of statistical/ML techniques and experimental design
• Hands-on experience with granular, disaggregated data, particularly behavioral consumer datasets and/or media logs; engagement with publisher walled gardens (AMC, ADH, etc.) a plus
• Advanced proficiency with SQL for big data analytics and Python for production-ready workflow development
• Experience with Databricks or similar cloud-based big data platforms, e.g. Snowflake, BigQuery, Redshift
• Experience building agentic workflows and integrating AI solutions into existing data and tech stacks