SKILLETY

Data Scientist/Engineer+NLP

Job description

Job Description


Technical Skills


  • 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 …
  • Statistics /Mathematics: Interpolation, extrapolation, correlation, sampling, Parametric tests, non-parametric tests ...
  • Imbalance Data Treatment: Under/Over sampling, Ensemble Methods, Cost Sensitive Learning ...


Non-Technical Skills


  • 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

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