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 & Product Analytics Team - Data Visualization Expert / Data Scientist II
Overview
Data & Analytics build internal analytic partnerships, strengthening their focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
The Mastercard Commercial Analytics team is responsible for expansion of business-to-business analytics footprint and for delivering incremental business insights, volume opportunities across commercial products.
• Are you excited about Data Assets and the value they bring 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 six 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. • Apply quality control, data validation, and cleansing processes to new and existing data sources• Connect with stakeholders across business and technology and serve as a SPOC for all the requirements and communications.
All About You • Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis for about 3-6 years
• Experience with Data Visualization libraries/tools like D3.js, three.js, Highcharts, SVG, HTML5, WebGL• Experience on Platforms/Environments: SQL Server, Microsoft BI Stack• Experience with data visualization tools such as Tableau, Domo, PowerBI is a must. Industry standard certification credentials are a plus• Financial Institution or a Payments experience a plus• Experience presenting data findings in a readable and insight driven format. Experience building support decks.• Experience in building automation flow using Alteryx/ Tableau prep/ Python/ R• Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop)• Experience with function scripting languages: Python, Scala, R• Advanced SQL coding is a must• 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 must • Understanding of full stack and product management concepts around product strategy, business case, high-level technical use case and ROI measurement• Excellent problem solving, quantitative and analytical skills
Scripting knowledge with Python and Bash are essentials• ETL(Logic) using python, SQL, and NoSQL databases, API• 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 with excellent communication skills• Strong diligence and quality focused• Creativity/Innovation with focused on solution• Initiative-taking, operates with a sense of urgency• Product 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
- Approximately 3–6 years of experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis
- Experience with data visualization libraries and technologies, including D3.js, three.js, Highcharts, SVG, HTML5, and WebGL
- Experience with SQL Server and the Microsoft BI Stack
- Experience with Tableau, Domo, or Power BI
- Experience building automation flows using Alteryx, Tableau Prep, Python, or R
- Experience with big data batch and streaming tools, including Spark, AWS tools, or Hadoop
- Experience with Python, Scala, and R scripting languages
- Advanced SQL coding
- Python and Bash scripting knowledge
- ETL using Python, SQL, NoSQL databases, and APIs
- Experience building data models
- Ability to present data findings in readable, insight-driven formats and build support decks
- Ability to interact with management and internal stakeholders, collect requirements, work in teams, use judgment, and operate under ambiguity
- Excellent quantitative, analytical, problem-solving, technical, written, and verbal communication skills
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field
- Master’s degree or M.B.A.
- Experience with SSIS, SSAS, and SSRS
- Financial institution or payments industry experience
- Industry-standard certification credentials
Mastercard Compensation & Benefits Highlights
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Retirement Support — Retirement plans are presented as best-in-class with a high company match on 401(k) or local equivalents. Career materials and U.S. postings consistently highlight retirement matching as a standout feature.
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Leave & Time Off Breadth — U.S. postings describe generous paid time off including vacation, personal days, holidays, sick/safe time, and additional bereavement leave. A hybrid policy and a limited “work from elsewhere” option further support time away.
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Parental & Family Support — Company pages state a global minimum of 16 weeks of paid new-parent leave across birth, adoption, and foster, plus family-building assistance where permitted. Mental-health resources and caregiving supports are also emphasized.
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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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.






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