Strong competence in the use of Python, SQL, Regular Expressions, Natural Language Programming (NLP).
Knowledge of Hive, Hadoop Ecosystem, Linux Scripts is advisable.
Machine Learning: Regression, Classification, Dimensionality Reduction, Clustering, Association Rules, Time Series forecasting, Parametric tests, non-parametric models
Natural Language Processing: Text Mining, web scrapping, text classification, event extraction, topic modeling, sparsity reduction, sentiment analysis …
Analytical ability - Must have a clear understanding and experience in performing data analysis and to initiate, develop and optimize POCs to solve Retail (CPG) problems
Team working - Ability to work with and in cross-functional and virtual teams across locations.
Planning and Organization – Ability to prioritize work to maximize value for the business
Organizational awareness – Ability to see the ‘whole picture’ and recognize the impact and opportunities of activities across the organization.
Communication - Strong communication skills with the ability to think quickly understandable way for both technical and non-technical audiences.
Innovation – Ability to develop innovative ways to solve complex problems, within constraints.
Educational Qualification
B. Tech/BE or Graduate in Mathematics/Statistics/Economics