Date Posted: 03/13/2025

Job Code:DS202503002

Job Responsibilities:

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.

Technical Skills:

Python, SQL, PL/SQL, PostgreSQL, Oracle, Time Series Forecasting, Classification, Regression, Geo/Spatial Analysis, Tableau, Power BI, Excel Macros, AWS, OCI, Data Lakes, Data migration, ETL pipelines, CRM integration, JIRA, 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.

eGrove Systems

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