About the role
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).