- Gathering business requirement and converting to technical design
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality, and/or ensuring it via data cleaning
- Supervising the data acquisition process if more data is needed
- Finding available datasets online that could be used for training Defining validation strategies
- Defining the pre-processing or feature engineering to be done on a given dataset
- Training models and tuning their hyperparameters
- Analyzing the errors of the model and designing strategies to overcome them
- Coding and Deploying models to production
- Testing the performance of the models
- Working with integration team and source systems team for seamless integration of data from source system.
- Perform ETL data flow, source-target data mapping and creation of Data Mart, Data Model and staging area for data loading.
Job Specifications
- Bachelor s Degree in computer Science , IS, MIS, Statistics or related field or in business.
- Fresh graduate or 1 year hands on experience
- Ability to understand/translate customer business needs into data requirements and analytical techniques
- Support data acquisition, validation, cleaning/preparation, and management from incoming data sources to facilitate analysis. Fluency in SQL is required.
- Covering the areas of full Analytics life cycle, from data preparation to advanced analytics predictive modelling, AI and dynamic dashboards for data visualization and ML-Ops
- Have excellent English oral and written skills
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