Azure Data Scientist

1 week ago

Johannesburg, South Africa TetriQ Solutions Full time

**Job Requirement and expertise**:

- Analyzing Business Requirements for Data Science,Understanding Security Issues in Data Science
- Preparing Data for Analysis and Modeling. Building, Training, and Validating Models in Microsoft Azure
- Cleaning and Preparing Data in Microsoft Azure,Combining and Shaping Data
- Interpreting Data with Advanced Statistical Models. Exploring and Modelling Data in Microsoft Azure
- leverage Azure services, including the use of notebooks, data exploration tools, and model building.
- Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer
- Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure
- Building Features from Nominal, Text Data and Numeric Data in Microsoft Azure
- Source, collect, and transform data into shapes appropriate for data modelling and machine learning
- Designing and Implementing Models: Developing and deploying Machine Learning models using Azure Machine Learning and other Azure services.
- Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling.
- Algorithm Development: Crafting algorithms to solve complex business problems and optimize processes.
- Azure Notebooks, Azure’s Data Science tools with integration in mind, ensuring they work seamlessly with popular open-source frameworks and libraries:

- Azure Machine Learning and Azure Data bricks natively support Python and R, and widely used languages in Data Science.
- integrates with TensorFlow, PyTorch, and other Deep Learning frameworks, providing scalable
- Azure services integrate with popular libraries like scikit-learn, pandas, and NumPy, to leverage familiar tools within a powerful cloud environment.
- Data manipulation libraries like Pandas, NumPy, and SQL for database management.
- Machine Learning concepts will enhance your ability to grasp complex algorithms and models. analytical thinking and problem-solving skills, and making informed decision including Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics.

Tool set Experience:

- Azure Machine Learning
- Python3.8-Tensorflow-Pytorch
- Python3.8-AzureML
- R,R Spark - HDInsight
- Julia 1.6.0
- Jupyter Notebook
- Scala Spark - HDInsight
- Azure SQl
- Data Bricks
- Logistic Regression
- Azure Notebooks
- Azure Data Science Virtual Machine (DSVM)

Pay: R300,00 - R500,00 per hour

Expected hours: 40 per week

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