Business and Marketing Data Scientist II

Job description

Minimum qualifications: - 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. - Experience managing end-to-end brand measurement frameworks, including brand lift studies, marketing mix modeling (MMM), or multi-touch attribution (MTA). Preferred qualifications: - 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. - Experiences with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks. - Experience delivering meta Analysis, fully automated analytics pipelines or audience segmentation and propensity modeling. - Understanding of Bayesian approaches and modeling frameworks. - Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders. About the...