Director, Data Science and Engineeering
Company Name:-
MasterCard
Job Location:-
Pune, Maharashtra
Job Summary:-
Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible.
Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company.
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences.
We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Job Title
Director, Data Science and Engineeering
The Director of Data Engineering & Analytics team will lead a growing team and work closely with the global D&S product development team to build scalable data / analytic capabilities for our products and solutions.
The DEA team will develop data and 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.
Join a fast-growing team
As a Director, you will:
Drive the evolution of Data & Services products/platform with an impact focused on data science and engineering
Work with a team of high-performing analytics, data science professionals, and cross-functional teams to build on newer product solutions, optimize product performance or go to market strategy
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 business insights & re
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