Data Science Associate

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.

Skills

Classification, Clustering, Data Science, Ensemble, Feature Engineering, ML, Machine Learning, Mathematical, Mathematics, Regression, Statistical, Statistics