Data Scientist

Skills Required

 

• Data Scientist with strong experience in developing models for predictive maintenance. Experience in working with electrical utility companies, electric vehicle manufacturers will be an added advantage.
• Should have strong skills in Python and data science libraries/frameworks such as Keras, Numpy, Opensearch, Pandas, Scikit-learn, Scipy, TensorFlow etc
• Hands on experience to work on time series modelling, time series prediction and forecast algorithms
• Apply various conventional AI/ML algorithms such as ARIMA, SARIMA and deep ML based algorithms such as LSTM, RNN, Auto encoders
• Apply state-of-the-art AI/ML algorithms such as Linear regression, Na ve Bayes, Decision Trees, Random Forest, SVM, PCA, PLS etc.
• Apply probabilistic forecast on time series data
• Work on problems related to predictive maintenance, asset health monitoring, Residual Useful Life (RUL) calculation etc.
• Apply statistical signal processing techniques for data cleaning
• Apply time series techniques like Fourier transform, Fast Fourier transforms, Wavelets to solve problems related to time series analysis
• Analyze time series data using correlation analysis, partial correlation analysis, factor analysis, contribution plots
• Estimate model orders, delays from the data, refine models based on performance metrics
• Build pipeline of AI/ML using data pre-processing, feature engineering, modelling, post processing, result validation, model deployment
• Ability to work on large scale time series data
• Should have experience developing ML models on AWS. Experience in developing and deploying models using Sagemaker will be a huge plus.
• Experience in working on Linux platforms, Git/Gitlab