Company Name:-
MasterCard

Job Location:-
Pune, Maharashtra

Job Summary:-
The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers grow.

Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base.

By harnessing the power of our real-time, anonymized and aggregated transaction data, powerful software platforms and wealth of expertise, we empower customers to unlock a holistic view of consumer behavior beyond their four walls, distill actionable insights and make more data-driven decisions.

With compelling offerings for financial institutions, retailers, telecommunications organizations, travel companies and more, our services drive efficiency and value and enable our customers to solve business problems from end to end

The D&S Product Development team is charged to develop future products and solutions focused on Insights, Loyalty & Managed services by enabling project management excellence framework delivering great business value and user experience leveraging cutting edge technology

As a Analyst on the Data Engineering & Analytics team you will develop data & analytics solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies.

The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses.

You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.

Role: Join a fast-growing team

As a Data Scientist/Engineer, you will:
Drive the evolution of Data & Services products/platform with an impact focused on data science and engineering
Participate in development of data and analytic infrastructure for product development
Participate in identification and evaluation of data elements to deliver analytics for product development
Continuously innovate and determine new approaches & technologies to solve business problems and generate

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