Marketing and Client Insight
Data Scientists with a specialization in Marketing are highly sought after by businesses struggling to make sense of the avalanche of unstructured, heterogeneous, big data created in today’s digital economy.
The multifaceted, detailed nature of data created by the digital universe is pushing companies to acquire highly-valued skills that will allow them to extract and analyze data to explain and understand behavior, but above all to predict it as it relates to purchasing products and services.
ENSAI graduates from the Quantitative Marketing and Revenue Management program are trained to have full Marketing knowledge (courses include: Marketing Mix with the Markstrat Challenge, Experiential Marketing , Digital Marketing, Customer Relationship Management) as well as perfectly master Datamining, Segmentation and Scoring Methods and Consumer Behavior Modeling (structural equations, discrete choice models), and temporal dimensions (predictive models, Econometrics of panel data). They are also taught how to use the data generated by chatbots through Data Science, Machine Learning, and Deep Learning Tools like Natural Language Processing (NLP).
Career opportunities for Marketing and Revenue Management graduates are vast. The industries in which they work include consulting, media, telecommunications, distribution, banking, insurance, energy, automobile, cosmetics, hospitality, transportation, leisure, and luxury.
Keywords
Datamining / Scoring / Statistical Machine Learning / Deep Learning / Marketing Mix / CRM / Yield & Revenue Management
Careers
Statistical Studies Manager / Pricing Analyst / Data Scientist / Revenue Manager
Businesses within the ENSAI ecosystem
Carrefour / Disneyland Paris / Fnac-Darty / Louis Vuitton / Médiamétrie / Orange / Publicis / SNCF / Yves Rocher…