Senior Data Scientist

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

We are looking for a data scientist to join Mastercard’s Economics Institute’s data science and econometrics team. This individual will be critical to growing the institute’s ability to support and enhance revenue products like advisory services, disseminate content to our stakeholders, and quantitative research outputs. This client interfacing role, focused on economic advisory services, provides the opportunity to work with leading companies across different industries and deliver insights using unique, rich, multi-faceted data sources & developing frontier level insights and methods.

We are looking for an individual who will:
• Develop and improve models across the entire pipeline – from data ingestion to statistical modeling, including macro scenarios, and communicating the results to key stakeholders
• Research and devise innovative statistical models for data analysis, analyze data for patterns, trends and seasonality, and interpret data with clear business objectives in mind
• Execute statistical experiments to help solve problems across various frequency data
• Automate and utilize algorithms to analyze big data; perform data analysis and quality checks to improve models; clean and validate data for accuracy and uniformity
• Design, optimize and implement machine learning models
• Implement analytical models in production by collaborating with key stakeholders
• Identify patterns or anomalies in the datasets being explored, produce concise insights for the Economist to allow fast interpretation of results
• Research and integrate econometric and statistical models as needed in order to create insights and compelling visualizations of data trends to develop interactive dashboards/apps for client presentations
• Participate in every stage of a project from briefing to ideation, to content development to draft/prototyping, testing, feedback collection and finalization
• Good to have some experience with ETL processes

About you
• Creative & passionate about statistics/math, economics, data, technology, and its applications, with an entrepreneurial mindset open to new ideas
• A good foundation in different modeling approaches and demonstrated success in managing large models
• A demonstrated interest in different machine learning and statistics with the ability to communicate models in a non-technical manner
• Expertise in one or more of R, Python, Julia, MATLAB or similar languages
• Expertise in one or more of SQL, PySpark
• Interest/experience in some of the following: machine learning (supervised and unsupervised), NLP, time series analysis, and text analysis on economic and financial data sets
• Quantitative modeling experience 2-3 years, ideally in a tech, healthcare/financial or academic research field
• Good foundation in economics with an advanced degree in math/statistics/quantitative field
• Strong collaborator and independent thinker
• Previous client facing experience, proficient in synthesizing data to create insights, great storyteller
• Excellent at managing multiple projects and tight timelines with an ability to reprioritize as situation might require and staying calm under pressure
• Evidence of creativity/innovation/unorthodox thinking in data driven economics

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.