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TECHNOLOGY Data Scientist Bangalore, India
  • Lead data mining and collection procedures.
  • Ensure data quality and integrity.
  • Interpret and analyze data problems.
  • Conceive, plan and prioritize data projects.
  • Experience in understanding business problems and formulating them as analytical/data science problems.
  • Experience in developing and implementing Statistical, Machine learning and Deep learning models.
  • Experience in Supervised and Unsupervised Machine Learning such as Regression, Classification, Anomaly detection, Bagging and Boosting techniques and Time Series Analysis.
  • Experience in Deep Learning methods such as Multilayer Perceptron, RNN, CNN and LSTM.
  • Experience with analytical programming languages, tools and libraries (Preferably Python).
  • Understanding of Mathematical, Statistical and Theoretical basis of Machine Learning algorithms.
  • Understanding of Machine Learning Life Cycle – feature engineering, model training, model validation, deployment and performance monitoring

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