Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Data Scientist II
Job Description -Data Scientist
Overview• Are you excited about Data Assets and the value they brings to an organization? • Are you an evangelist for data driven decision making?• Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?• Do you want to be the go-to resource for data analytics in the company?
Role• Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support 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 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 Tableau/PowerBI dashboards, Excel and PowerPoint. • Apply quality control, data validation, and cleansing processes to new and existing data sources• Build ML & AI capabilities to support business use case
All About You • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis• Have worked on ML/Data Science projects• 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 on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage• Experience in building data models a plus • Experience with data visualization tools such as Tableau, Domo, PowerBI a plus• Experience with Hadoop environments, Python, R, 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, excellent communication skills• Must be able to interact with management, internal stakeholders and collect requirements• Must be able to perform in a team, use judgment and operate under ambiguity
Education• Bachelor's or Master's Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
Additional Competencies• Excellent English, quantitative, technical, and communication (oral/written) skills • Analytical/Problem Solving• Strong attention to detail and quality• Creativity/Innovation• Self-motivated, operates with a sense of urgency• Project Management/Risk Mitigation• Able to prioritize and perform multiple tasks simultaneously
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:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Skills Required
- Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
- Experience presenting data findings in a readable and insight driven format
- Advanced SQL coding
- Experience on SQL Server, Microsoft BI Stack
- Experience building ML/Data Science projects
Mastercard Compensation & Benefits Highlights
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Retirement Support — Retirement programs include an employer match up to 10% (401k or local equivalent), consistently highlighted in careers materials. Feedback suggests this is a standout component of total rewards.
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Parental & Family Support — A global minimum of 16 weeks paid new‑parent leave is offered for birth, adoption, or foster placements, with financial assistance for fertility, adoption, and surrogacy where allowed. Feedback suggests these provisions are robust relative to many large employers.
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Flexible Benefits — Flexibility features include hybrid work, a four‑week “work from elsewhere” program, quarterly meeting‑free days, and five paid volunteer days. Feedback suggests these options support work/life balance across many roles.
Mastercard Insights
What We Do
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Why Work With Us
We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.
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Mastercard Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.















