Head - Data Science/Analytics
- Solid understanding of data structures and Algorithms is required.
- Machine Learning: Statistical Modelling, Linear Regression, Logistic Regression, Clustering, Association Rules, Time Series, Decision Trees, Bayesian Networks, SVD, Support Vector Machines, CNN, RNN, LSTM, GRU, GAN, Ensemble Methods and Recommendation Systems.
- ML/DL Tools and Languages: R, Python, Spark MLlib, Scikit-learn, Numpy, Pandas, Tensorflow, Keras, PyTorch, CNTK, H2O etc.
- IDE: Jupyter Notebook, Spyder, KNIME, Anaconda, RStudio
- Languages : Python, R, SQL
- Databases : SQL Server
- Data warehousing : B4HANA, SQL DW
- Cloud : Amazon AWS, Microsoft Azure
- Data Visualization : Power BI
Desirable/ Good to have :
- Self-service Analytics/ ML Tools: Alteryx, Thoughtspot, Azure ML Studio, AWS Sagemaker, Google Cloud ML Engine etc.
- NLP Experience: Syntactic / Semantic Text Analytics with R, Python, Chatbots (DialogFlow, Watson etc)
- Communication skills
- Client management - experience
- Maturity for Team leading / mentoring
Didn’t find the job appropriate? Report this Job