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Data Scientist II

Data Scientist II

Mastercard

4 - 8 years

13 - 18 Lacs

gurugram

Posted:1 hour ago| Platform:

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Skills Required

payments hive snowflake python domo data validation scala airflow power bi impala cleansing cloudera hadoop sql server sql alteryx tableau apache nifi spark data integration tools microsoft stack big data ssis quantitative analysis

Work Mode

Work from Office

Job Type

Full Time

Job Description

Title and Summary

Data Scientist II
Data Scientist II
Job Family: Product Data & Analytics

Job Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. We enable secure, simple, smart, and accessible digital payments. Our technology and innovation help people, businesses, and governments realize their greatest potential.

Overview

The Product Data & Analytics team builds internal analytic partnerships to strengthen focus on:
Business health and portfolio optimization
Revenue opportunities and initiative tracking
New product development and Go-To-Market strategies
We provide scalable end-to-end data solutions and influence decisions across Mastercard through data-driven insights.

Role Responsibilities

Architect, develop, and maintain advanced reporting and visualization capabilities on large data volumes.
Translate business requirements into solution specifications and high-quality deliverables.
Create repeatable ETL, modeling, and reporting processes.
Manipulate large-scale databases, synthesize insights, and present findings via Tableau/ PowerBI dashboards, Excel, and PowerPoint.
Apply quality control, data validation, and cleansing processes to new and existing data sources.

All About You

Experience in data engineering, analytics, reporting, and quantitative analysis.
Advanced SQL skills; ability to write optimized queries for large datasets.
Familiarity with Cloudera Hadoop, Big Data stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake.
Exposure to Python, Scala, Hive, Impala, Spark.
Experience creating data pipelines using tools like Alteryx, SSIS.
Knowledge of job scheduling tools (Apache Airflow, NIFI).
Proficiency in data visualization tools (Tableau, PowerBI , Domo).
Strong skills in data validation and cleansing.
Ability to present insights in a clear, actionable format.
Comfortable interacting with management and stakeholders.
Payments or financial institution experience is a plus.

Education

Bachelors or Masters degree in Computer Science, IT, Engineering, Mathematics, Statistics.
Additional Competencies
Excellent communication and technical skills.
Strong analytical/problem-solving abilities.
Attention to detail and quality.
Creativity and innovation.
Self-motivated with a sense of urgency.
Ability to prioritize and multitask effectively.

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