Consumer Goods – Vertical

Data Science Core Skills

Based on scientific methods, processes, algorithms, and systems, Data Science core skills help Consumer Goods businesses gain insights from structured and unstructured data.

Machine Learning
Nearest Neighbor analysis
Naive Bayes
Linear Regression
Logistic Regression
Python Programming

Bayesian time-series forecasting models
Decision Trees
Neural Networks
Cluster analysis
Natural Language Processing
R Programming

Discriminant analysis
Support vector machines
Random forests
Classification and regression trees
Time series analysis
SAS Programming

Vertical Skills

Our Data Scientists have all the core skills in Data Science combined with these skills in the Consumer Goods vertical.

Data Science Core Skills

Skills in Consumer Goods vertical

Marketing campaign (test/control) analysis
Customer lifetime value and life cycle
Customer loyalty analysis
Marketing personalization, predictive analytics and targeting
Fraud detection
Customer churn
Customer segmentation and trend forecasting
Customer relationship channel optimization
Demand forecasting
Price elasticity and margin analysis

Data Science Meets Consumer Goods Vertical

For CPG companies, the insights of a Data Scientist will enable best practices in customer and channel engagement.

Data Science Core Skills

Vertical Skills

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