Field Data Scientist

2 weeks ago

Doral, United States Penn Foster Inc Full time

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

Field Data Scientist (Spanish speaking)

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

The Cyber and Intelligence Solutions (C&I) team is responsible for product management and innovative product development of products and services to address the evolving risk & cybersecurity needs of all of Mastercard’s various customer segments. The C&I team was established with the responsibility to safeguard all aspects of safety and security in payments and have made great strides with new products, services and standards, positively impacting all aspects of our current and future payment ecosystem.

Ekata, a Mastercard company, is the global standard in identity verification, providing businesses worldwide the ability to link any digital transaction to the human behind it. Our Ekata Identity Engine, the first and only of its kind, uses complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our graph to deliver industry leading risk assessment solutions.

As a Field Data Scientist at Ekata, a Mastercard Company, 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 the Ekata data ecosystem through machine learning or rule-based systems. As a product implementation expert, you will advise customers how to best leverage Ekata data in their fraud workflows through proof of value tests. This role specifically will have a focus supporting prospects and customers in our Latin America & Caribbean region.

Role

As a Field Data Scientist you will:

Support the sales team to ensure Ekata can highlight the maximum benefit of its dataset, through proof of value (POV) tests.

Support development of machine learning and rules-based models to maximize fraud detection and false positive reduction for clients.

Understand customer business needs and workflows, using this knowledge to position Ekata products and design solutions using them.

Proactively nurture & maintain one-on-one relationships with customer data scientists, with the aim of providing deep insights for development of fraud models.

Acquire a deep knowledge of Ekata products and data, using this knowledge to act as subject matter expert for customers.

Identify & analyze Ekata data features that a) could be adapted to provide better value b) not currently provided by Ekata and would add value c) are not providing and should be removed to reduce signal to noise ratio.

Work with customer IT and engineering resources to QA their integration of Ekata APIs and ensure the correct data is available for modeling.

Assist with internal training on Ekata products, data, and processes.

Attend product spec reviews to bring customer facing perspectives and share feedback from the market.

All About You

Ability to speak Spanish and English fluently in a business setting

Computer/Data Science or Engineering degree, or equivalent experience.

Experience in a machine learning or data analytics capacity.

Experience in a customer-facing or heavily cross-functional role

Excellent scripting and analysis skills in python and SQL.

Excellent presentation and communication skills.

Ability to create and understand supervised machine learning models.

Experience in understanding customer needs and using those to build design docs or technical specifications.

Proven ability to establish credibility with technical leaders in customer organizations.

In the US, 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. Pay Ranges #J-18808-Ljbffr

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