Description

You will develop predictive models and drive data-driven insights through advanced analytics.

This role is on-site.

Responsibilities

• Develop predictive models using supervised learning techniques such as Linear Regression, Random Forest, and XGBoost.
• Implement unsupervised learning approaches, including various clustering techniques.
• Apply advanced analytics and statistical methods to derive actionable business insights.
• Build and refine models to improve predictive accuracy and analytical depth.

Required Skills

• 4 to 9 years of relevant experience in data science or analytical engineering.
• Proficiency in supervised learning algorithms, specifically Linear Regression, Random Forest, and XGBoost.
• Hands-on experience with unsupervised learning and clustering techniques.
• Strong foundation in statistics and advanced analytics.
• Ability to implement end-to-end predictive modeling workflows.

Preferred Skills

• Experience with large-scale data processing frameworks.
• Knowledge of MLOps and model deployment pipelines.

Key Skills

Education

Any Graduate