Data Science

JOB POST: Data Scientist at Mastercard, Gurgaon: Apply Now!

Satyaki

Apr 15, 2023
2 min read

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Mastercard invites applications for the Data Scientist at Mastercard, Gurgaon. Interested and eligible candidates can apply online on the official website.

About Mastercard

Mastercard Inc. is the second-largest payment-processing corporation worldwide. It offers a range of financial services. Its headquarters are in Purchase, New York. Mastercard is a leading global payments & technology company that connects consumers, businesses, merchants, issuers & governments around the world.

Job Title

Data Scientist-1.

Job Description

Data and Analytics have pioneered a transaction-based revenue methodology to inform and guide Mastercard’s Strategy, Product Design, and Innovation within the Products & Innovation business. We
build internal analytic partnerships, strengthening their focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development, and Go-To-Market
strategies.

Roles and Responsibilities

Work closely with global and regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support team analytics and reporting needs across products, markets, and services.
Translate business requirements into tangible solution specifications and high-quality, on-time deliverables.
Create repeatable processes to support the development of modeling and reporting.
Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Excel and PowerPoint.
Apply quality control, data validation, and cleansing processes to new and existing data sources.

Required Skills & Experience

Experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
Financial Institution or a Payments experience a plus.
Experience presenting data findings in a readable and insight-driven format. Experience building support decks.
Advanced SQL coding.
Experience on Platforms/Environments: SQL Server, Microsoft BI Stack.
Experience in SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Servers. Reporting Services (SSRS) will be an added advantage.
Experience in building data models is a plus.
Experience with data visualization tools such as Tableau, Domo, and PowerBI is a plus.
Experience with Hadoop environments, Python, R, and WPS, a plus.
Excellent problem-solving, quantitative, and analytical skills.
In-depth technical knowledge, drive, and ability to learn new technologies.
Strong attention to detail and quality.
Team player, with excellent communication skills.
Must be able to interact with management, and internal stakeholders and collect requirements.
Must be able to perform in a team, use judgment and operate under ambiguity.