Exp Level-4-6 Yrs

Key responsibilities
• Review available datasets, identify data-quality issues, and prepare data for analysis and modelling.
• Explore patterns, assess practical features, and select appropriate preprocessing methods.
• Choose and compare suitable statistical and machine-learning models based on the problem, dataset size, and intended use.
• Train models, tune their settings, and select prediction thresholds where appropriate.
• Design suitable training, validation, and testing approaches, avoiding data leakage and overfitting. Must-have: Practical Python experience, hands-on predictive modelling and understanding of model evaluation. Essential Skills Exp on developing ML-based prediction models Exp on using Python for developing ML models Which libraries Exp on using on classification or regression models Exp on using testing and checking the accuracy of ML models Exp on working with different ML algorithms and compared their results Exp on integrating ML models into Python applications Exp on working with CSV/Excel datasets for data preparation and ML modelling Hands-on experience writing SQL queries and an understanding of database normalization

📌 Data Scientist (Bengaluru)
🏢 Digile
📍 Bengaluru