Data Scientist

• Develop and deploy machine learning models for classification, regression, and time series forecasting.
• Perform data analysis, feature engineering, and predictive modeling to drive business insights.
• Work with large-scale datasets and implement geo/spatial analysis for data-driven decision-making.
• Build and optimize risk scoring models, fraud detection systems, and customer segmentation algorithms.
• Utilize SQL, PostgreSQL, and Oracle for efficient data extraction, transformation, and storage.
• Create interactive data visualizations and dashboards using Tableau and Power BI.
• Work on data migration projects, integrating data from various sources such as AWS, OCI, and CRM systems.
• Automate data workflows and reporting using Excel Macros and Python scripting.
• Collaborate with cross-functional teams to define business KPIs, build dashboards, and provide actionable insights.
• Work in an Agile environment using project management tools like JIRA and Confluence

Skills Requirements:

• Must have a bachelor’s degree in computer science, electrical engineering, electronics, or a related field.
• 5+ years of experience in data science, machine learning, and analytics.
• Strong background in Python, SQL, and data visualization tools.
• Experience in developing predictive models, fraud detection, and business intelligence solutions.
• Hands-on expertise in data processing, feature engineering, and cloud-based data platforms.
• Familiarity with Agile methodologies, project management tools, and reporting automation.
• Strong problem-solving and analytical skills with excellent communication