Bachelors or higher degree, Marketing Analytics, Data Science, or Data Analytics; in depth knowledge of statistical analysis; linear, logistic, multinomial regressions; KMeans; DBSCAN; MeanShift; GMM; agglomerative hierarchical clustering; Decision Tree; KNN; Random Forest; SVM; PCA; NMF; LDA; GDA; stationarity and seasonality testing; ARIMA; time series analysis forecasting; natural language processing and text analysis; CNN; RNN; ANN; conjoint analysis; revenue market share simulation.

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