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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other SoftwareStatistics / Analytics |
EmploymentType | Full-time |
Lead data mining and collection procedures. Ensure data quality and integrity. Interpret and analyze data problems. Conceive, plan and prioritize data projects. Requirements 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 Please fill details in the highlighted field(s) before proceeding. Max file size 1Mb Enter the characters shown in the image. Were ready to get started, are you Get in touch and we can connect you with the right people.,
Keyskills :
analytics python sql atamining modelvalidation timeseries dataanalysis machinelearning datascience lifecycle programminglanguages positionmanagement deeplearning dataquality anomalydetection