Lead Data Scientist - IDS1057

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

Lead Data Scientist - IDS1057

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

Ekata Data Science team builds models for identity verification products. As a Lead Data Scientist, you will be responsible for exploratory data analysis and machine learning modelling for several initiatives. Your work will be high impact, strategic and innovative. The work is inherently challenging – we are looking for an entrepreneurial person who can ask the right questions, produce the best analytical approaches, collaborate with engineers, product managers and other teams, work fast and iterate to solve problems. This is an amazing opportunity to directly contribute to new products, innovate and solve real customer problems.

As a Lead Data Scientist, you will:

Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products

Work with multiple sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modelling

Generate and maintain and optimize data pipelines for model building and model performance evaluation

Develop, test, and evaluate modern machine learning models

Oversee implementation of models

Evaluate production models based on business metrics to drive continuous improvement

Essential Skills:

Experience with SQL language and database technologies

Experience with at least one programming language used frequently in data science and standard data science libraries (e.g., SparkML, Scikit Learn, XGBoost)

Effective communication skills

Highly skilled problem solver

Exhibits a high degree of initiative


Nice to have:

Master’s or PhD in Computer Science, Data Science, Machine Learning, or a related STEM field

Experience in with data engineering and model building in PySpark using Spark ML

Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error

Loves working with error-prone, messy, unstructured data

Mastercard is an inclusive Equal Employment 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. If you require accommodations or assistance to complete the online application 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.

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.