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Principal Data Scientist

Mastercard Open · verified Oct 24, 2026
Toronto Full-time Senior Data Science

At a glance

Senior Data Science role at Mastercard. Toronto · full-time · CA$154,000–CA$247,000 base.

SalaryStated by Mastercard
CA$154,000 – CA$247,000
Base salary for this role, in CAD per year, as published in the posting.
This role, from MastercardOur estimate for the market: CA$121,500–CA$152,000Median CA$133,100
Above the market median of CA$133,100 for senior data science roles in Toronto.
Worked out from 25 postings that stated pay, median CA$133,100. Last updated Oct 15, 2026.
RoleData Science
SenioritySenior
LocationToronto
EmploymentFull-time
Base payCA$154,000–CA$247,000
PostedJul 30, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set the product’s data science direction and coordinate delivery across initiatives tied to clearer purchases and fewer disputes
  • Build and expand models that add useful merchant detail, clarify transactions and lower chargeback or dispute rates
  • Guide solutions using generative AI, multi-agent systems, language processing and computer vision
  • Oversee model deployment, monitoring and governance, including accuracy, reliability, privacy and security
  • Lead and coach data scientists while reviewing their code and models for enterprise standards

What you bring

  • You have led data science teams and delivered AI or machine-learning solutions at enterprise scale
  • You bring strong grounding in supervised, unsupervised and generative methods, plus applied NLP, information extraction or computer vision
  • You can use Python, SQL, Spark and the named machine-learning frameworks and cloud platforms
  • You hold a master’s degree; a doctorate is preferred

Who this fits

This senior technical role suits someone who can lead a data science team while staying hands-on with model development and delivery. You’ll need to work across product, engineering and business teams, explain technical results to varied audiences, and operate within a regulated financial environment. The role is based in Toronto.

From the employer

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

Principal Data Scientist

Overview:

Mastercard is seeking a Principal Data Scientist to lead the development and delivery of advanced AI and machine learning solutions for Mastercard’s Ethoca product that enhances consumer purchase experiences.

This is a senior technical role, responsible for defining the data science product design, guiding execution across multiple business initiatives, and ensuring solutions are delivered at scale to support chargeback reduction, dispute resolution, and consumer clarity. The successful candidate will combine technical depth with strong cross-functional skills to drive measurable business impact.

Responsibilities:

Leading Engineering Culture
• Design and execute the data science vision and roadmap for the product enhancement, aligning technical initiatives with business priorities and product strategy.
• Lead, mentor, and inspire a high-performing data science team, fostering a culture of technical excellence, innovation, and collaboration.
• Partner with product, engineering, and business leaders to shape requirements and deliver data-driven capabilities that improve customer experience and reduce disputes.

Product Impact
• Build and scale AI/ML models that enrich merchant data, enhance transaction clarity, and reduce chargeback/dispute rates.
• Guide the design and implementation of solutions that leverage generative AI, multi-agent systems, NLP, and computer vision to enhance purchase experiences.
• Monitor and continuously improve deployed models to ensure accuracy, reliability, and compliance in a regulated financial environment.

Technical & Operational Excellence
• Provide hands-on technical leadership in model development, deployment, and governance across cloud environments (Azure, Snowflake, Spark).
• Ensure compliance with Mastercard’s data governance, security, and privacy requirements.
• Review and oversee code, models, and engineering components developed by the team to maintain enterprise-grade standards.

Innovation & Thought Leadership
• Drive exploration of cutting-edge technologies, including generative AI and agentic frameworks, to strengthen the product offering and Mastercard technical competence.
• Represent Mastercard’s AI leadership through patents, publications, conference presentations, and academic partnerships.
• Incubate prototypes and proofs-of-concept to evaluate new methods before scaling into production.

All About You:

• Proven experience leading data science teams and delivering enterprise-scale AI/ML solutions.
• Deep expertise in supervised, unsupervised, and generative AI methods, with strong understanding of their mathematical foundations.
• Hands-on background in NLP, information extraction, or computer vision or multi-modal AI applied to real-world business challenges.
• Strong track record of translating complex data problems into scalable, measurable business outcomes.
• Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake.
• Experience working in highly regulated industries, with an emphasis on data governance and compliance.
• Skilled at engaging with senior stakeholders, presenting technical results to diverse audiences, and driving alignment across functions.
• Master’s degree required; PhD preferred.

Nice to Have:
• Experience in payments, FinTech, or consumer transaction data.
• Prior patents or publications in AI/ML.
• Demonstrated success applying GenAI or multi-agent systems in production environments.

#AI

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: $154,000 - $247,000 CAD

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.