Master's degree in Statistics, Engineering, Sciences, a related quantitative discipline, 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:
Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
Experience using or deploying digital analytics and measurement solutions.
Experience leveraging data insights into storytelling for business stakeholders.
Experience in Computer Vision and NLP in the context of marketing analytics, with the ability to bring generative AI technologies to customer problems in marketing.
Knowledge of the statistical algorithms used in Marketing Analytics.