Data Scientist

Requirements:

• Having experience in data analysis and machine learning.
• At least 4+ years of experience are required.
• Analysed large and complex datasets to uncover trends, patterns & insights. Interpret data findings and translate them into actionable insights.
• Analysis of product-based problems, RCA using data, statistics & ML.
• Proven experience in developing and implementing machine learning models.
• Proficiency in programming languages such as Python and hands-on experience with machine learning libraries and frameworks (e. g., Scikit-learn, TensorFlow, PyTorch).
• Experience with data processing, feature engineering, and model evaluation techniques.
• Preferable to have experience in potential payers and recommendation systems.
• Experience in a churn prediction system.
• Knowledge of deep learning techniques and architectures, RL (Reinforcement Learning), and LLM (Large Language Model) is a bonus.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with software development best practices and version control systems (e. g., Git).