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The Director will manage go-to-market strategies for Operational Intelligence products, collaborate with teams, enhance products, and drive market penetration.
Top Skills:
Payments Technology
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 and payment 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:
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.
Advanced experience in a machine learning or data analytics capacity.
Extensive experience in a customer-facing or heavily cross-functional role with strong data science centric project management experience.
Experience developing statistics based KPI's and communicating value to business stakeholders.
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.
Excellent scripting and analysis skills in python and SQL.
Excellent presentation and communication skills.
Experience leveraging cloud computing and analytics platforms
Familiarity with basic software development frameworks and tools
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 comes 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, and
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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 [email protected] 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:
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: $127,000 - $203,000 CAD
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 and payment 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:
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.
Advanced experience in a machine learning or data analytics capacity.
Extensive experience in a customer-facing or heavily cross-functional role with strong data science centric project management experience.
Experience developing statistics based KPI's and communicating value to business stakeholders.
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.
Excellent scripting and analysis skills in python and SQL.
Excellent presentation and communication skills.
Experience leveraging cloud computing and analytics platforms
Familiarity with basic software development frameworks and tools
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 comes 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, and
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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 [email protected] 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: $127,000 - $203,000 CAD
Mastercard New York, New York, USA Office

Mastercard’s NYC Tech Hub unites experts from diverse backgrounds and disciplines, from software development to finance, data architecture to cybersecurity and beyond, to build systems that never fail for a world that never stops.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


