Mastercard

Senior Data Scientist

Amsterdam, Netherlands
API Python SQL Machine Learning
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

Senior Data Scientist

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 (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) 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.

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 & cyber security 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 eco-system.

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 Sales Engineer at Ekata, a Mastercard Company, you will have a diverse set of responsibilities supporting Sales with the aim of supporting and growing a best-in-class product suite in the identity verification industry. The role is focused on ensuring potential prospects understand our API products from a technical perspective and get the best possible value from the Ekata data ecosystem through their machine learning or rule-based systems. As a product expert, you will collaborate with Sales to understand prospect pain points, goals, and risk workflows to determine product fit, advise prospects how to best leverage Ekata data in their risk workflows through trainings or simple proof of value tests, represent Ekata in the market at conferences and webinars, and liaison with our Product team to share customer feedback to improve our products.

In this role you will:
Work with prospective customers and our Sales team to win deals and drive sales to completion
Build strong relationships with prospects while empowering them as a product expert
Support the sales team to ensure Ekata can highlight the maximum benefit of its dataset, through customer trainings or simple proof of value product tests.
Understand customer business needs and workflows, using this knowledge to position Ekata products and design solutions using them.
Acquire a deep knowledge of Ekata products and data, using this knowledge to act as subject matter expert for customers.
Assist with external and internal trainings on Ekata products and data
Liaise with the Product team to bring customer facing perspectives and share feedback from the market.
Represent Ekata in the market, attending conferences and webinars, and supporting the creation of best practice documentation including industry knowledge and product use


All About You:
Business, Marketing, Computer Science, Engineering, or related technical degree, or equivalent experience.
Experience in a customer-facing or heavily cross-functional role.
Basic scripting and analysis skills in Python.
Excellent presentation and interpersonal skills.
Strong problem solving and analytical skills
Ability to communicate technical concepts to non technical internal and external stakeholders
Ability to effectively communicate with different levels of staff including data science, engineering, product management, marketing, business, both internally and externally
Ability to extract and analyze data in SQL.
High level knowledge and understanding of supervised machine learning models and APIs
Experience in understanding customer needs and using those to build technical specifications.
Proven ability to establish credibility with technical leaders in customer organizations.

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.




Mastercard
Mastercard
Finance Financial Services Information Technology Payments

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