Key Responsibilities:
Analyse datasets, identify data quality issues and prepare data for modelling.
Perform feature selection, preprocessing and exploratory data analysis.
Develop, train, validate and evaluate machine learning models.
Apply classification, regression and ensemble techniques.
Perform hyperparameter tuning, cross-validation and model performance analysis.
Integrate models into existing Python applications and maintain documentation.
Required Skills:
Robust Python programming skills, including pandas, NumPy and scikit-learn.
Practical knowledge of statistical analysis and machine learning algorithms.
Experience with logistic regression, decision trees, random forests and ensemble methods.
Knowledge of feature selection, cross-validation, hyperparameter tuning and class imbalance handling.
Familiarity with Excel / CSV datasets.
Solid analytical, problem-solving and communication skills.
📌 Data Scientist Bengaluru
🏢 SKaaS- Skills as a Service
📍 Bengaluru
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