Data Scientist- Immediate Joiner (Hyderabad)

As a mid-senior level Data Scientist with 6-8 years of experience, your role will involve utilizing your robust Azure skills to contribute effectively to the team. You should possess expertise in various areas including:

• End-to-end data science workflow: data preparation, feature engineering, model building, validation, and deployment
• Proficiency in descriptive and inferential statistics
• Algorithm development for solving business problems

In addition to your core expertise, you are expected to have hands-on experience with Azure Machine Learning, Databricks, Synapse Analytics, and Data Explorer (KQL). You should be skilled in using Azure Notebooks and integrating Azure services with open-source frameworks.

Your programming skills should include a strong command of Python and R, along with practical experience using libraries like scikit-learn, pandas, NumPy, TensorFlow, and PyTorch. SQL proficiency is essential for data manipulation and database management.

Integration and deployment are crucial aspects of the role. You should be able to integrate Azure tools with popular ML frameworks and have experience in cloud-based model deployment, monitoring, and scaling.

Your analytical and conceptual strengths will be put to good use, with advanced analytical thinking and problem-solving skills. Experience in exploratory data analysis (EDA) and awareness of security and compliance in data science workflows are also expected from you.

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Hope this helps. As a mid-senior level Data Scientist with 6-8 years of experience, your role will involve utilizing your robust Azure skills to contribute effectively to the team. You should possess expertise in various areas including:

• End-to-end data science workflow: data preparation, feature engineering, model building, validation, and deployment
• Proficiency in descriptive and inferential statistics
• Algorithm development for solving business problems

In addition to your core expertise, you are expected to have hands-on experience with Azure Machine Learning, Databricks, Synapse Analytics, and Data Explorer (KQL). You should be skilled in using Azure Notebooks and integrating Azure services with open-source frameworks.

Your programming skills should include a strong command of Python and R, along with practical experience using libraries like scikit-learn, pandas, NumPy, TensorFlow, and PyTorch. SQL proficiency is essential for data manipulation and database management.

Integration and deployment are crucial aspects of the role. You should be able to integrate Azure tools with popular ML frameworks and have experience in cloud-based model deployment, monitoring, and scaling.

Your analytical and conceptual strengths will be put to good use, with advanced analytical thinking and problem-solving skills. Experience in exploratory data analysis (EDA) and awareness of security and compliance in data science workflows are also expected from you.

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Hope this helps.