We are searching for a brilliant Senior Software Engineer to join our productive team at Mastercard in Pune.
Growing your career as a Full Time Senior Software Engineer is an incredible opportunity to develop relevant skills.
If you are strong in decision-making, critical thinking and have the right initiative for the job, then apply for the position of Senior Software Engineer at Mastercard today!

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
Senior Software Engineer
Who is Mastercard
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, easy, 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.



With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Role:
. Applying analytical/technical expertise to translate business problems into actionable solutions.
. Leveraging data mining and machine learning techniques to build statistical models across a broad spectrum of topics
. Staying abreast of current trends/research in data science research and technology
. You need to Investigate the most appropriate techniques to solve complex problems by assessing diverse mathematical, statistical and AI models.
. Combine pattern-based and statistical methods to fine-tune and improve overall results.
. Good understanding of machine learning techniques, Natural Language Processing, Statistical Modelling, Visualization and advanced Data Science techniques/methods., such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Deep Learning etc.
. Collaborate broadly across multiple functions (data engineering, product management, IT, etc.) to readily make key data readily available and easily consumable
. Performing ETL tasks and data analyses (exploratory, confirmatory and/or qualitative), which include wide use of statistical models/algorithms using Python/ R/ SQL etc.
. Familiarity with 'big data' frameworks (Hadoop, Spark, hive, impala etc)
.



Document changes in the project and source code.
. Write well-designed, testable, efficient code.
. Good communication skills and a Team player.
All about you:
. Educational Qualification- Degree in computer science/engineering/applied mathematics or related fields.
. You should have At least 4-5 years of work experience in the analytics field (including data science, business intelligence, etc.)
. You should be a Seasoned machine learning and data mining enthusiast, proficient in algorithms development and able to work with complex infrastructures.
COVID-19 Considerations
In many locations, we've implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in our NYC offices, as required by law, only individuals who have been fully vaccinated against COVID-19 will be permitted inside Mastercard offices unless a reasonable accommodation has been approved in advance.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

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Abide by Mastercard's security policies and practices
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Ensure the confidentiality and integrity of the information being accessed
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Company Benefits:
● Company offers great benefits
● Opportunities to grow
● Competitive salary

📌 Senior Software Engineer - Start Now (Pune)
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