About The Role:

To apply data science techniques and machine learning algorithms to solve business problems, improve decision-making, and ensure the efficient deployment of models in production.

What Will You Do:

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the ML algorithms that could be used to solve a given problem Exploring and visualizing data to gain an understanding of it Identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, andoror ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining the preprocessing or feature engineering to be done on a given dataset Defining validation strategies Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production