Data Engineer

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

Data Engineer

Overview

Product Data & Analytics team builds internal analytic partnerships, strengthening 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 analytics in the company?
  
  
  

The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

Job Description

• Transform business and technical challenges into scientific research problems. And convert research challenges into algorithms.
• Develop data-driven solutions to address business challenges using appropriate techniques (AI, ML, DL, GenAI etc.)
• Be part of a team in building and executing various data science projects for product and business use cases across the organization.
• Conduct data analysis to address both business and technical challenges. In addition, report valuable and actionable insights.
• Hands on data extraction, data analysis, data cleaning, preparation, modeling, and evaluation.
• Build prototypes and proof-of-concepts and conduct tool evaluations.
• Document and maintain the developed solutions.
• Presenting data science results to a variety of audience
  
  
  

All About You

• At least 3 to 5 years of proven experience in developing and deploying Machine Learning and Deep Learning Solutions end-to-end (data exploration to deployment).
• Deep understanding of different Machine learning, Deep learning, and AI algorithms and the math behind it.
• Strong scientific communication skills.
• Handling data responsibly by maintaining data governance, and privacy.
• Curious, Critical thinker, good hacking skills and scientific reasoning.
• Not afraid to ask questions and propose new ideas
• At least bachelor’s in computer science or any relevant quantitative field is a must.
  
  
  

Nice To Have:

• Good understanding of payment networks.
• Skill in identifying new product ideas from data.
• Experience publishing and protecting scientific intellectual property work.
  
  
  

Skills

Python, ML Frameworks, and Deep Learning Framework (TensorFlow, PyTorch)

GenAI frameworks (LLMs, LangChain, LangGraph, Agent workflows)

SQL and Hadoop

Databricks, Azure, and Azure ML

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.

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