Lead Field 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

Lead Field Data Scientist

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.

As a Lead Field Data Scientist within Mastercard Identity, a Services organization, you will have a diverse set of responsibilities supporting sales (pre-sales), customer success (post-sale), and product development, with the aim of supporting, growing, and developing a best-in-class product suite in the identity verification industry. The role is focused on making sure potential prospects & clients see the best possible value from Mastercard Identity’s data ecosystem through machine learning or rule-based systems. As a product implementation expert, you will advise customers how to best leverage Identity’s data in their fraud workflows through proof of value tests. In addition, Field Data Scientists advise internal product stakeholders on opportunities for new product development and go-to-market strategies.

Role

As a Lead Field Data Scientist you will:

1. Support the sales team to ensure Mastercard Identity can highlight the maximum benefit of its dataset through proof of value (POV) tests.
2. Support development of machine learning and rules-based models to help our clients maximize fraud detection and false positive reduction, increase payment acceptance, and optimize their risk decisioning.
3. Understand customer business needs and workflows, using this knowledge to position Mastercard Identity products and design solutions using them.
4. Proactively nurture & maintain one-on-one relationships with customer data scientists, with the aim of providing deep insights for development of fraud models.
5. Acquire a deep knowledge of Mastercard Identity products and data, using this knowledge to act as subject matter expert for customers.
6. Analyze Mastercard Identity data features and provide recommendations to our Product team to ensure that our products continually provide the best performing signals for our customers.
7. Work with customer IT and engineering resources to QA their integration of Identity API products and ensure the correct data is available for modeling.
8. Assist with internal training on Identity products, data, and processes.
9. Attend product spec reviews to bring customer-facing perspectives and share feedback from the market.

All About You

1. Computer/Data Science or Engineering degree, or equivalent experience.
2. Advanced experience in a machine learning or data analytics capacity.
3. Extensive experience in a customer-facing or heavily cross-functional role with strong data science-centric project management experience.
4. Experience developing statistics-based KPI's and communicating value to business stakeholders.
5. Experience in understanding customer needs and using those to build design docs or technical specifications.
6. Proven ability to establish credibility with technical leaders in customer organizations.
7. Excellent scripting and analysis skills in Python and SQL.
8. Excellent presentation and communication skills, in English and Mandarin.
9. Experience leveraging cloud computing and analytics platforms.
10. Familiarity with basic software development frameworks and tools.
11. Ability to create and understand supervised machine learning models.

Corporate Security Responsibility

Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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;
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.