Description

  • Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.  
  • 8-14 years of experience in data science, building hands-on ML models 
  • Expertise in Demand Forecasting at scale is mandatory.
  • Experience in Retail industry preferred.
  • Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. 
  • Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
  • Knowledge of programming languages SQL, Python/ R, Spark. 
  • Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). 
  • Experience with cloud computing services (AWS, GCP or Azure) 
  • Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing 
  • Knowledge in GPU code optimization, Spark MLlib Optimization.  
  • Familiarity to deploy and monitor ML models in production, delivering data products to end-users. 
  • Experience with ML CI/CD pipelines

Key Skills
Education

Bachelor's /Master's /PhD degree

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