Position: Data Scientist / Analyst I
Company: Mastercard
Location: Gurgaon, India
Job type: Full time
Job mode: Onsite
Job requisition id: R-278127
Years of experience: 0-3 years
Company description
Mastercard is a global technology powerhouse in the payments industry that connects and powers an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible.
The organization leverages secure data, networks, and partnerships to create products and services that empower individuals, businesses, and governments to realize their greatest potential.
Operating in more than 200 countries and territories, Mastercard is dedicated to building sustainable economic foundations that foster global prosperity.
Innovation and technology are at the heart of the company, driving continuous advancement in digital payment ecosystems and financial security.
Mastercard promotes a culture of collaboration, integrity, and social responsibility, ensuring that every employee contributes to building a stronger, more connected global economy.
The company’s unique set of products and services is designed to address the evolving needs of the modern world, making financial participation easier for all.
Joining Mastercard means becoming part of a diverse, global team committed to pushing the boundaries of what is possible in the fintech and data landscape.
Profile overview:
The Product Data & Analytics team is seeking a motivated Data Scientist to help build internal analytic partnerships and drive the health of the business through data-driven strategies.
This role focuses on portfolio and revenue optimization, initiative tracking, new product development, and the creation of effective Go-To Market strategies.
Candidates will serve as an evangelist for data-driven decision-making, translating complex data sets into actionable business insights that support strategic growth.
You will be part of a high-impact Global Analytics team that builds large-scale analytical capabilities supporting end users across six continents.
The ideal candidate will possess a strong business mindset, capable of seeing innovative solutions within sprawling data environments and converting those findings into tangible opportunities.
Responsibilities include working closely with both global and regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities.
You will be tasked with translating complex business requirements into clear, high-quality solution specifications that are delivered on time.
The role demands the creation of repeatable processes to streamline modeling and reporting efforts, ensuring consistent performance across all products and services.
You will manipulate large-scale databases to synthesize insights, providing first-level conclusions and assessments that drive executive-level decision-making.
Proficiency in presenting complex findings through Excel and PowerPoint to internal stakeholders is a critical component of this position.
The role requires a candidate who is eager to become a go-to resource for data analytics, fostering a culture of excellence and accuracy within the organization.
You will apply rigorous quality control, data validation, and cleansing processes to ensure the integrity of new and existing data sources.
Success in this role requires performing effectively within a team, using sound judgment, and demonstrating the ability to operate under ambiguity.
Qualifications:
Candidates should have a solid foundation in data management, data mining, data analytics, data reporting, and quantitative analysis.
Experience within a Financial Institution or a payments-related environment is considered a distinct advantage for this role.
Proficiency in the Microsoft BI stack is highly valued, specifically SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS).
Advanced SQL skills are mandatory, with a proven ability to write highly optimized queries for large data sets and Big Data environments.
Practical experience working with platforms such as Cloudera Hadoop and various Big Data technology stacks is strongly preferred.
Familiarity with data visualization tools, specifically Tableau or PowerBI, is an added advantage for creating impactful reports.
Experience with programming languages such as Python or R is highly desirable for advanced analytical modeling and data manipulation.
Candidates must demonstrate excellent problem-solving, quantitative, and analytical skills to address complex business challenges effectively.
A strong commitment to attention to detail and data quality is essential to maintain the high standards expected by the company.
Excellent communication skills, both oral and written, are required to interact effectively with management and internal stakeholders.
Applicants should hold a Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics.
An M.S. or M.B.A. degree is preferred, reflecting a balance of technical capability and business acumen.
The ability to learn and adapt to new technologies quickly is a core requirement, given the rapidly evolving nature of the data science landscape.
Candidates should be team players who can thrive in a collaborative environment while taking ownership of individual deliverables.
Additional info:
Candidates are expected to participate in the application and interview process with complete integrity, honesty, and good faith.
If you choose to utilize AI tools during any stage of your application, you must review and adhere to the company's established AI usage guidelines.
Every employee is responsible for information security and must abide by Mastercard’s comprehensive security policies and practices at all times.
Responsibilities include ensuring the confidentiality and integrity of all information accessed and reporting any suspected security violations immediately.
Employees must complete all mandatory, periodic security trainings to ensure compliance with the organization’s rigorous safety standards.
The role requires excellent English proficiency, both for technical documentation and for clear communication across diverse global teams.
Strong project management and risk mitigation skills are necessary to manage multiple tasks simultaneously and prioritize high-impact deliverables.
The environment promotes creativity and innovation, encouraging team members to suggest new ways to utilize data for business advantage.
A sense of urgency and self-motivation is key to succeeding in this role, as you will often navigate ambiguous project requirements.
You will be expected to interact with various stakeholders, requiring the ability to collect and interpret requirements accurately under pressure.
The company places a high value on diversity, equity, and inclusion, aiming to provide a supportive environment for all employees.
As part of a global team, you may work across different time zones, requiring flexibility and strong organizational skills to coordinate effectively.
This position offers a unique opportunity to contribute to large-scale analytical capabilities that have a measurable impact on a global scale.
By joining the Product Data & Analytics team, you are positioning yourself at the intersection of finance and technology, building a career that bridges the gap between data and strategy.
Please click here to apply.
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