Data scientist

Working from home country

Essential Duties & Key Responsibilities

• 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
• Defining data augmentation pipelines
• 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.