Data Scientist

Key Responsibilities

By helping in these key areas, he/she can empower machine learning engineers to effectively preprocess data, engineer meaningful features, and accurately evaluate the performance of models, ultimately contributing to the success of the overall project.

Key Requirements

• Proficiency in data manipulation tools like pandas and NumPy.

• Experience with statistical analysis and hypothesis testing.

• Knowledge of data visualization techniques.

• Understanding of data privacy and security best practices.