JD :-

We are seeking a highly motivated Data Scientist with solid expertise in Traditional Machine Learning, Statistical Modeling, and Predictive Analytics. The ideal candidate will leverage data-driven approaches to solve complex business problems, build scalable machine learning solutions, and deliver actionable insights that drive business value.

Key Responsibilities

- Analyze large and complex datasets to identify trends, patterns, and business opportunities.
- Build, validate, and deploy machine learning models for classification, regression, forecasting, and clustering problems.
- Perform exploratory data analysis (EDA), feature engineering, and data preprocessing.
- Apply statistical techniques to solve business problems and evaluate model performance.
- Develop predictive models using traditional machine learning algorithms.
- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
- Present insights, recommendations,



and model outcomes to technical and non-technical audiences.
- Monitor model performance and implement continuous improvement strategies.
- Work closely with Data Engineers and business teams to operationalize machine learning solutions.

Required Technical Skills

Machine Learning

- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- XGBoost
- LightGBM
- CatBoost
- Support Vector Machines (SVM)
- Nave Bayes
- K-Nearest Neighbors (KNN)

Unsupervised Learning

- K-Means Clustering
- Hierarchical Clustering
- PCA
- Association Rule Mining
- Dimensionality Reduction Techniques

Statistical Modeling

- Hypothesis Testing
- Probability & Statistics
- Predictive Analytics
- A/B Testing
- Time Series Forecasting
- Statistical Inference
- Regression Analysis

Programming & Querying

- Python (Mandatory)
- SQL (Mandatory)

📌 Data Scientist (Delhi)
🏢 EXL
📍 Delhi