Field Data Scientist

Mastercard is hiring a Field Data Scientist in Toronto, Canada. Level rates it ; you can apply on Mastercard.

Level's read on this job

Level rates this data scientist role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Machine learning, data science and pre sales.
Level classifies it as a mid-level role.
Level lists 931 other open roles at Mastercard.

AI in this role

Field Data Scientist supporting pre-sales, customer success, and product development using machine learning and data ecosystems for identity verification.

Machine learning

data-sciencepre-salesfraud-detectioncustomer-success

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

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 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 rate this

Field Data Scientist at Mastercard rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Field Data Scientist is an open job at Mastercard.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Toronto, Canada.
The job was posted on September 25, 2026.
Seniority: mid.
Applications are handled by Mastercard. Apply on Mastercard

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data SciencePre SalesFraud DetectionCustomer SuccessMachine learning

Also common in data scientist jobs at this level

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Pay

Typical data scientist job: $168k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where pre sales was part of your work. What did you do?
Tell me about a project where fraud detection was part of your work. What did you do?
Tell me about a project where customer success was part of your work. What did you do?
Walk me through how you've used Machine learning in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Science, Pre Sales, Fraud Detection, Customer Success, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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