Data Scientist II
Our Purpose
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.
Our Team
Product Data Analytics has pioneered a transaction-based revenue methodology to inform and guide Mastercard’s Strategy, Product Design, and Innovation. We build internal analytics 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.
- 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 6 continents?
- Do you want to be the go‑to resource for data science & analytics in the company?
The Role
- Work closely with global acceptance team to develop analytic solutions (e.g., dashboards, ML/AI Model), utilizing complex statistical and data science techniques that adhere to best practices and communicate a story on large volumes of data to support data insights across products, markets, and services.
- Drive the evolution of products with an impact focused on data science and engineering.
- Manage multiple projects and help the business to drive data‑driven decisions.
- Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations.
- Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.
All About You
- A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or equivalent work experience.
- Prior experience in working in a data science product development role.
- Strong hands‑on experience in advanced data science and well versed with Python, SQL.
- Good knowledge about Statistical analysis, NLP, and AI/ML, regression/classification models.
- Experience working with Generative AI (RAG, Lang chain, LLM, Agents preferred).
- Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively.
- Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts.
- Able to work in a fast‑paced, deadline‑driven environment as part of a team and as an individual contributor.
- Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, Power BI is a plus.
- Experience on Cloud Data Platforms Azure/AWS/Databricks will be a plus.
Education
- Bachelor’s or master’s Degree in 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
- 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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
- Engineering and Information Technology
- Industries: Financial Services, IT Services and IT Consulting, Technology, Information and Internet
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