Key Responsibilities

- Develop and implement machine learning models for classification, regression, forecasting, clustering, and predictive analytics.
- Apply statistical and machine learning techniques to identify patterns, trends, and business opportunities from large and complex datasets.
- Build and optimize models using algorithms such as XGBoost, Random Forest, Gradient Boosting, Logistic/Linear Regression, Decision Trees, and clustering techniques.
- Perform data preprocessing, feature engineering, feature selection, and exploratory data analysis (EDA).
- Evaluate model performance using appropriate metrics and techniques such as cross-validation, hyperparameter tuning, ROC-AUC, Precision, Recall, F1-score, RMSE, and MAE.
- Translate business requirements into analytical and machine learning solutions.
- Identify relevant data sources, assess data quality, and work with structured and unstructured datasets.
- Conduct statistical analysis and hypothesis testing to support data-driven decision-making.
- Interpret model outputs and communicate insights, assumptions,



and recommendations to both technical and non-technical stakeholders.
- Collaborate with Data Engineers, Software Engineers, Product Managers, and business teams to productionize analytical solutions.
- Monitor model performance and continuously improve models based on changing data and business requirements.
- Stay current with emerging developments in machine learning, statistics, and AI.

Required Skills & Experience

- Strong hands-on experience in Machine Learning and Statistical Modelling.
- Solid understanding of supervised and unsupervised learning techniques.
- Experience with:XGBoost
Random Forest
Linear & Logistic Regression
Decision Trees
Classification & Regression
Clustering algorithms such as K-Means and hierarchical clustering

Must have skills:

Machine Learning

Statistical Modelling(XGBoost, Random Forest, regression, classification, clustering,)

Good to have Gen AI

📌 Data Scientist (Bengaluru)
🏢 Affine Analytics
📍 Bengaluru