Educational Background:
- B.Tech / BS/ MS/ PhD in Engineering or quantitative discipline with computer background / Masters in Quant discipline (Math/Physics).
Roles & Responsibilities:
- Take part in end-to-end ML (Machine Learning) projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions.
Job Description :
1) Should have applied Machine learning experience in the fields of Machine Learning, Forecasting, Regression, Statistical Modelling, Predictive Modelling, Text Mining, Natural Language Processing (NLP), Deep learning.
2) Should have experience in Supply Chain analytics/ Sales Analytics/ Market and Customer analytics ( Market Mix Model, Market Basket Analytics, Pricing, After Market, Cross Sale, Marketing optimization etc.)
3) Should be Proficient in Cloud Technologies and Service Azure/ AWS
4) Must have Expert in Python & SQL and extremely proficient with the SciPy stack (e.g. NumPy, pandas, scikit learn, matplotlib);
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