Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Qualifications Basic Required Qualifications Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field Minimum 10 years of experience in data science, analytics, or related field Minimum of 7 years of experience in managing and leading people Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics.