Must have strong Python Data Experience using frameworks like Pandas and NumPy.
Develop machine learning models, select appropriate algorithms, preprocess and clean data, tune hyperparameters, and evaluate model performance.
Manage data pipelines, including acquisition, cleaning, integration, and transformation.
Expertise in databases, ideally NoSQL and SQL.
Elastic search and ML experience using tools like TensorFlow or PyTorch is a big plus.