About the role
Requirements:
- Strong data scientist / ML practitioner.
- Very strong statistical and mathematical foundation.
- Strong hands-on depth across regression, classification, clustering, ensemble methods, and feature engineering.
- Strong data science and machine learning fundamentals.
- Strong statistical and mathematical foundations.
- Key Skills: Regression and Classification, Clustering and Ensemble Methods, Feature Engineering.
- Hands-on experience building and evaluating ML models.
- Strong analytical and problem-solving skills.