Description

You will develop and deploy machine learning models for classification, regression, and time series forecasting.

This role is on-site.

Responsibilities

• Build and optimize risk scoring, fraud detection, and customer segmentation models.
• Perform data analysis, feature engineering, and predictive modeling to drive business insights.
• Implement geo/spatial analysis and process large-scale datasets.
• Automate data workflows and reporting using Python and Excel Macros.
• Integrate data from AWS, OCI, and CRM systems.

Required Skills

• 5+ years of experience in data science, machine learning, and analytics.
• Proficiency in Python and SQL.
• Experience with PostgreSQL, Oracle, and PL/SQL.
• Expertise in classification, regression, and time series forecasting.
• Ability to create interactive dashboards using Tableau and Power BI.
• Hands-on experience with data migration and cloud-based data platforms.
• Experience working in Agile environments using JIRA and Confluence.

Preferred Skills

• Bachelor’s degree in Computer Science, Electrical Engineering, Electronics, or a related field.

Key Skills

Education

Bachelor's degree