Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
4 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.
Experience in Machine Learning and Statistics.
Preferred qualifications:
Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, people-management).
Experience using or deploying digital analytics and measurement solutions.
Experience in retail, financial services/retail banking, insurance, telecommunications, automotive and CPG.
Experience in Computer Vision and Natural Language Processing (NLP) in the context of marketing analytics and the ability to bring generative AI technologies to customer problems in marketing.
Experience leveraging data insights into storytelling for business stakeholders.
Understanding of the statistical algorithms typically used in Marketing Analytics.