Collaborating with analytics engineers, the full-time Data Scientist - Marketing will supply statistical rigor to analytics projects, develop custom analytics models, and conduct exploratory analysis to drive actionable insights and optimize business performance, with the option to work remotely or from the Lititz, PA office. Key responsibilities Advising on analysis and modeling techniques for structured and unstructured data to generate insights Maintaining and updating Media Mix Models (MMM) and Multi-Touch Attribution (MTA) models to reflect current marketing spend Designing and analyzing experiments to improve attribution models and collaborating with stakeholders to translate challenges into data science solutions Required qualifications Minimum 2 years of professional experience in Data Science, or a PhD in a quantitative field Advanced proficiency in Python and SQL, with a strong foundation in statistical methods Hands-on experience with experimentation and causal inference frameworks Experience building and refining Media Mix Models (MMM) and/or Multi-Touch Attribution (MTA) models Ability to translate complex model outputs into clear insights for stakeholders