Lead Data Scientist

Description

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

Role and Summary

Data Scientist

The Data Scientist in the Foundry R&D team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets. The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring.

As a 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 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 A.I. models

Oversee implementation of models

Evaluate production models based on business metrics to drive continuous improvement

Leverage AI tooling for development of analytics code and data pipelines and to innovate on process

Essential Skills:

Data engineering and data science experience

Strong skills in Databricks, Snowflake, and other data platforms

Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark.

Experience in working with Cloud (e.g., Azure, AWS)

Python and one of the following machine learning libraries

o Spark ML

o TensorFlow

o Scikit Learn

o XGBoost

Good communication skills

Highly skilled problem solver

Exhibits a high degree of initiative

Bachelor’s or Master’s in CS, Data Science, ML/AI, or a related STEM field

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.