Field Data Scientist

AI in this role

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

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 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 Field Data Scientist you will:

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

- Support development of machine learning and rules-based models to help our client’s maximize fraud detection and false positive reduction, increase payment acceptance, and optimize their risk decisioning

- Understand customer business needs and workflows, using this knowledge to position Mastercard Identity 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 Mastercard Identity products and data, using this knowledge to act as subject matter expert for customers.

- 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

- Work with customer IT and engineering resources to QA their integration of Identity API products and ensure the correct data is available for modeling.

- Assist with internal training on Identity products, data, and processes.

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

All About You

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

- Experience in a customer-facing or heavily cross-functional role with data science centric project management experience.

- Excellent scripting and analysis skills in python and SQL.

- Excellent presentation and communication skills.

- Experience in a machine learning or data analytics capacity

- 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.

Mastercard is a merit-based, inclusive, equal 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. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment 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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.

Pay Ranges

Toronto, Canada: $91,000 - $140,000 CAD

How we score this

Field Data Scientist at Mastercard scores 22 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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