• Working closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods • Designing, prototyping, and testing new products and data solutions • Developing scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources • Conducting incrementality tests and building Media Mix Models (MMMs) • Integrating scalable workflows into production environments by collaborating with software engineers • Maintaining data science and machine learning workflows by fixing bugs or improving model performance as needed • Articulating complex technical results and methodologies to internal stakeholders • Joining client meetings as needed to understand client data problems and propose innovative solutions • Proactively identifying issues, raising them to the team, and proposing and implementing effective solutions