presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects 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 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 2+ 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. 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.