Found Description
Hands‐on experience in data science or analytics roles, with a focus on marketing analytics.Qualifications and ExperienceMS or PhD in mathematics, statistics, computer science, economics, or a related quantitative field, or equivalent experienceProficiency in at least one statistical or programming language (e.g., R, Python) for data manipulation and analysisExpertise in statistical modeling, experimental design, inferential statistics, and machine learning, particularly in marketing mix models, matched market tests, attribution models, and digital analyticsFamiliarity with marketing modeling techniques, including ad stock and carryover effects, various transformations to capture diminishing returns effects in linear models, modeling approaches for capturing the combined effects of media investments, creative decay/wear‐in/wear‐out, and full funnel measurementProficient in using data visualization tools (DOMO) to present data in a visually engaging mannerStrong communication skills ...