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 relevant PhD degree.
Preferred qualifications:
2 years of experience delivering insights from ML to customers (problem scoping/definition, modeling, interpretation).
2 years of experience using or deploying digital analytics and measurement solutions.
Understanding of the statistical algorithms typically used in Marketing Analytics.
Proficiency in Computer Vision and NLP in the context of marketing analytics and the ability to bring cutting-edge generative AI technologies to customer issues in marketing.