Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
2 years of experience using or deploying digital analytics and measurement solutions.
2 years of experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
Experience in Computer Vision and Natural Language Processing (NLP) in the context of marketing analytics.
Knowledge of the statistical algorithms used in Marketing Analytics.
Ability to bring Generative Artificial Intelligence (GenAI) technologies to customer problems in marketing.