Mastercard

Mastercard

Principal Data Scientist

Toronto, Canada (Ethoca), CA · Principal

Sponsorship not specified$154k-$247kDetected 23 hours ago
PythonSQLSnowflakeAzureCloud PlatformsMachine LearningTensorFlowPyTorchscikit-learnSparkData ScienceNLPComputer VisionLLMsLeadershipPublic Speaking

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

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About the role

  • 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.
  • The successful candidate will combine technical depth with strong cross-functional skills to drive measurable business impact.
  • 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.

Responsibilities

  • 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.
  • Build and scale AI/ML models that enrich merchant data, enhance transaction clarity, and reduce chargeback/dispute rates.
  • Review and oversee code, models, and engineering components developed by the team to maintain enterprise-grade standards.
  • Drive exploration of cutting-edge technologies, including generative AI and agentic frameworks, to strengthen the product offering and Mastercard technical competence.
  • 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.

Requirements

  • Deep expertise in supervised, unsupervised, and generative AI methods, with strong understanding of their mathematical foundations.
  • Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake.
  • 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.
  • We hire the most qualified candidate for the role.
  • The Reasonable Accommodations team will respond to your email promptly.
  • Corporate Security Responsibility
  • Abide by Mastercard's security policies and practices
  • Ensure the confidentiality and integrity of the information being accessed

Compensation

  • 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 an

Benefits

  • Hands-on background in NLP, information extraction, or computer vision or multi-modal AI applied to real-world business challenges.
  • Design and execute the data science vision and roadmap for the product enhancement, aligning technical initiatives with business priorities and product strategy.
  • Guide the design and implementation of solutions that leverage generative AI, multi-agent systems, NLP, and computer vision to enhance purchase experiences.

Company info

  • Together with our customers, we're helping build a sustainable economy where everyone can prosper.
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This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.