Senior Data Scientist

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.

Title and Summary

Senior Data Scientist

Overview

Are you an experienced data scientist with a passion for technological innovation, have a can-do attitude and strong sense of ownership? The Small and Medium Enterprise (SME) platform is the perfect opportunity for you to assist in the design & development of a world-class unified platform, enabling Small and Medium Enterprises globally.

The SME team is looking for a senior data scientist to own the development of machine learning models and business intelligence projects. You will also work closely with cross-functional teams, including data engineers, data analysts, and software engineers, to drive data-driven decision making throughout the organization.
Role

Analyze various data sources to deliver data-driven and actionable insights for small and medium-sized enterprises in Mastercard network.
Develops sophisticated multivariate models and analytic solutions (e.g., dashboards, machine learning models), utilizing complex statistical and data science techniques and methods.
Self-starter that can work independently with ambiguous requirements and proactively identify insights opportunities from the data.
Communicate with cross functional teams and business partners to help drive their ability to leverage insights from data.

All about you

Demonstrated ability to combine, interrogate, and manipulate large data sets using big data tools (Hadoop, Spark, etc.)
Extensive experience of using common programming languages (Python preferred) and different statistics and machine learning libraries (Pandas, scikit-learn, PySpark, etc.)
Understand the trade-off between different machine learning model validation metrics (AUC, recall etc.) to achieve the most optimal mode performance based on the business needs.
Knowledge of version control systems (Git etc.).
Ability to directly communicate with business partners to translate statistical findings into business insights.
Experience with BI visualization tools (Tableau, Domo, Power BI etc.) is highly preferred.
Experience of optimizing big data ETL pipeline is preferred.
Good to have experience of software engineering.

What makes you stand out

Experience in deploying machine learning models to cloud-based production environments.
Experience with Databricks.
Experience with the innovative application of Generative AI in commercial settings.
Background in the financial industry.
Solid foundation in software engineering, with a focus on maintaining high code quality, effective version control, and rigorous testing practices, ensuring the development of robust and reliable software solutions.
#AI

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.