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 [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: $154,000 - $247,000 CAD
Skills Required
- Proven experience leading data science teams and delivering enterprise-scale AI/ML solutions
- Deep expertise in supervised, unsupervised, and generative AI methods
- Hands-on background in NLP, information extraction, computer vision or multi-modal AI
- Proficiency in Python and ML frameworks (Scikit-learn, PyTorch, TensorFlow)
- Proficiency in SQL and Spark
- Experience with Azure ML and Snowflake (cloud model deployment and data platforms)
- Experience working in highly regulated industries with emphasis on data governance, security, and privacy
- Strong track record translating complex data problems into scalable, measurable business outcomes
- Master's degree
- PhD
- Experience in payments, FinTech, or consumer transaction data
- Prior patents or publications in AI/ML
- Demonstrated success applying generative AI or multi-agent systems in production
Mastercard Compensation & Benefits Highlights
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Retirement Support — Careers materials and job postings advertise a “best‑in‑class” 10% retirement match (401k or equivalent). Public-facing benefits pages consistently position this as a standout element of the U.S. package.
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Leave & Time Off Breadth — Recent U.S. postings list 25 vacation days, 5 personal days, 10 paid holidays, up to 20 days of bereavement, and 80 hours of sick/safe time. The combined time‑off framework is described as well above typical U.S. baselines.
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Parental & Family Support — Company materials specify a minimum of 16 weeks paid new‑parent leave and inclusive family‑building support, with financial assistance for adoption, fertility, and surrogacy where allowed. Impact/ESG reporting also notes coverage enhancements for gender‑affirming care in North America.
Mastercard Insights
What We Do
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.
Why Work With Us
We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.
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