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
Mastercard company is seeking a Senior Software Engineer, which serves various client-tele such as Merchants, Financial Institutions (Issuer, Acquirer), Digital players to recognize & Subscription as a Service in the respective ecosystems and provide ability to react with confidence. Our solution provides data analytics, visualization & data marketplace capabilities while leveraging cloud-based user interface, micro-services, visualization capabilities, SaaS integrations like Azure AD, Google Cloud Platform, Scala, Lens, Splunk, Dynatrace, Cassandra & Snowflake.
Mandatory skill set: Data Science including AI ML skillset
Are you motivated by speeding business solutions to market?
Do you want to innovate, using cutting edge technologies on challenging business problems?
Do you want to be part of an innovator that is changing the ecommerce landscape and reinventing the way global merchants and issuers combat fraud through collaboration?
We welcome the challengers and thought leaders. We want the agile, creative risk-takers who can address challenges with an open mind, the freedom to innovate and the strength to dominate. Ethoca’s growth is explosive, and only great problem-solvers, collaborators and thinkers can help us take it to the next level. If that sounds like you, keep reading.
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Role
Provide support of applications software through programming, analysis, design, development, and delivery of software solutions. Research alternative technical solutions for changing business needs.
Major Accountabilities:
This job independently executes key elements of projects/processes within the Data Science area by applying in-depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur.
Designs, develops, and reviews scalable machine learning models and statistical solutions to address complex business challenges, ensuring alignment with organizational standards.
Refines and optimizes models through advanced feature engineering, hyperparameter tuning, and validation to ensure high performance and robustness.
Collaborates with cross-functional teams, including AI/ML Engineering, to support model deployment, scaling, and operationalization.
Provides technical guidance and mentorship to junior team members, reviewing their work for quality and best practices.
Translates complex data insights into strategic recommendations for senior leadership, supporting decision-making and innovation.
Contributes to the development of best practices, standards, and knowledge sharing within the team.
Documents models, processes, and methodologies to ensure reproducibility and ongoing improvement.
May contribute to solution development for new products/services and/or manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within the Data Science area.
All About You
Minimum bachelor’s degree in information technology, Computer Science or extensive work experience.
4+ Years of Hands-on Software development experience. 2+ years in Software and Data Science field Familiar with DevOps and IT Operations best practices.
Current understanding of best practices regarding application & system security
Experience in data analytics knowledge, experience with ETL, Data Modelling & Pattern analysis is desired.
Willing to learn new technology stack and available to support customer & production environments for issue mitigation.
Need to work with global team and available in different time zones (US, Canada, Dublin, India).
Success with producing high quality project design deliverables and documentation
Strong domain knowledge of Java 8 (or later). Spring Boot knowledge is required.
Experience with databases: Relational & NoSQL
Experience with User interface development framework (Angular preferred)
Thorough and extensive knowledge and understanding of Software Engineering Concepts and Methodologies is required.
Excellent written and spoken communication
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.
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.
