Lead Data Scientist - Generative AI

at  MasterCard

Our Purpose
We work 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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a
culture of inclusion
for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Lead Data Scientist - Generative AI
Overview
We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Our team within Mastercard:
Security Solutions Data Science team is a key differentiator for Mastercard, building cutting-edge products and services that are used across authentication, authorization, and dispute phases throughout the entire Mastercard Payment network. We work with product teams and engineering teams to develop and implement the ML components in security solutions, and also work with sales teams and finance teams to develop sales strategy for these security solutions.
Role and Summary
Lead Data Scientist
This is an individual contributor role responsible for piloting Generative AI use cases for sales enablement. The goal is to automate qualitative research through Generative AI and supplement with Mastercard network intelligence. So that we can enable targeted sales with on-demand industry trend analysis and customer profiling, and diagnose buyer-specific pain points and provide curated narratives leading to sales.

Key job responsibilities:

• Collaborate with data scientists, engineers, product managers, and sales to research, design, develop, and evaluate generative AI algorithms to address real-world challenges
• Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling
• Generate and maintain and optimize data pipelines for model building and model performance evaluation
• Develop, test, and evaluate modern machine learning and GenAI models

Create and deliver best practice recommendations, tutorials, sample code, and presentations adapted to technical, business, and executive stakeholders

Essential Skills:

• Master’s degree in statistics or a STEM related field
• Considerable working experience as a data scientist

• Strong experience in building large scale machine learning or real-world deep • learning models (CNN, RNN, etc.)

• Extensive experience in using Python and hands on experience building models with LLM, Tensorflow, Keras, PyTorch, MXNet
• Proficient in SQL and familiar with PostgreSQL, Hadoop, Spark.
• Familiar with data pipeline technologies and best practices with industry leading platforms such as Apache NiFi, Airflow or equivalent
• Effective in communicating technical content to non-technical audiences

Nice to have:

• PhD in Statistics, CS, Data Science, ML/AI, or a related STEM field
• Experience in model implementation and real time scoring engine
• Experience in working with Cloud (e.g., Azure, AWS)

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.

Key job responsibilities:

• Collaborate with data scientists, engineers, product managers, and sales to research, design, develop, and evaluate generative AI algorithms to address real-world challenges
• Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling
• Generate and maintain and optimize data pipelines for model building and model performance evaluation
• Develop, test, and evaluate modern machine learning and GenAI model

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