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Data science • canada

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Director, Data Science

MasterCardCA
Temps plein

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 supp... Voir plus

Senior Data Science Developer

Randstad CanadaToronto, Ontario, CA
Temporaire
Quick Apply

We are seeking a skilled Senior Data Science Developer to provide technical analytics support, build cloud-based data models, and develop robust data pipelines for clinical analytics priorities.In ... Voir plus

Manager, Data Science (Askuity division)

The Home Depot CanadaToronto, ON, CA
160 000,00 $CA – 190 000,00 $CA par an
Temps plein

Pay Range: $160,000 - $190,000.At The Home Depot Canada, we want you to feel valued and supported.The pay range you see represents base salary only.In addition, your total rewards may include: semi... Voir plus

Data Science - Co-op Student (Winter 2027)

Rodan Energy Solutions Inc.Mississauga, ON, CA
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Student, Library Science

Bank of CanadaOttawa (Downtown), ON, CA
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The Bank of Canada has a vision to be a leading central bank—dynamic, engaged and trusted—committed to a better Canada.No other employer in the country offers you the unique opportunity to work at ... Voir plus

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Temps plein
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Join the Prep Academy Tutors Team – Where Passion Meets Opportunity!.We're a dynamic, private in-home and online tutoring company dedicated to providing top-tier educational support across all subj... Voir plus

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Intact FinancialMontréal, Quebec, Canada
Temps plein

Our employees are at the heart of everything we do.Together, we help people, businesses, and society prosper in good times and be resilient in bad times.Our employee promise represents Intact’s com... Voir plus

 • Offre sponsorisée

Data Science Manager

DeloitteCalgary, AB, AB, CA
Permanent

Calgary, AB; Edmonton, AB; Vancouver, BC; Victoria, BC.At Deloitte, our Purpose is to make an impact that matters.We exist to inspire and help our people, organizations, communities, and countries ... Voir plus

Assistant Professor - Data Science Computation

University of TorontoToronto, ON, CA
Temps plein +1

Faculty - Tenure Stream (continuing).Department of Statistical Sciences.The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications f... Voir plus

Data Science Chief Expert, CX

SAPMontreal, Queb, CA
Temps plein +1

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you.We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to h... Voir plus

Data Science Developer - Senior (RQ00758)

Analyst Technical SolutionsToronto, ON, Canada
Temps plein
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Job TitleRQ-2026-009857 - Senior Data Science Developer for the Mental Health & Addiction program.The Agency Mental Health & Addiction program requires technical analytics support to delive... Voir plus

Math and Science

York Region District School BoardBritish Columbia, Canada
Temps plein

Huwilp Road, New Aiyansh, BC Internal/External Competition#26-93 Math and Science Nisga'a Secondary SchoolStart Date: September 1, 2026 About the Nisga'a School District In the Nisga'a School Distr... Voir plus

Sr. Manager / Associate Director - Commercial Data Product (Pharma/ Life science

Tiger Analytics Inc.Toronto, ON, CA
Télétravail
Temps plein
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Tiger Analytics is an advanced analytics consulting firm.We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data.Our consultants ... Voir plus

Data Science Student

PCL ConstructionEdmonton, AB, CA
Temps plein

The future you want is within reach.At PCL, we build the places where life happens and find camaraderie in the process.We’re a community of builders committed to building better communities.That’s ... Voir plus

Data Science Evaluator - Expert

MercorToronto, Ontario, Canada
100,00 $CA – 150,00 $CA par jour
Télétravail
Temps partiel
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Headquartered in San Francisco, our investors include.Identify and correct factual, aesthetic, and presentation errors.Provide clear, structured written feedback to improve.Native or professional f... Voir plus

Data Science, Senior Consultant – Healthcare & Life Sciences, Elevate

Simon-Kucher & PartnersToronto, Ontario, CA
Temps plein

Data Science, Senior Consultant – Healthcare & Life Sciences, Elevate.Simon-Kucher's sole focus is on unlocking better growth for our clients, increasing their long-term sales, value, and profit.We... Voir plus

RQ00745-Data Science Developer

Source CodeToronto, ON, Canada
68,55 $CA par heure
Temps plein
Quick Apply

RQ00745 -Requisition TitleData Science Developer.Location: Toronto (661 University Ave, Suite 1701, Toronto, ON M5G 1M1).Duration: 6 months + possible extention.Public Health Ontario (PHO) is build... Voir plus

Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)

PSP InvestmentsMontreal
Temps plein

We’re one of Canada’s largest pension investors, with CAD$320.We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Res... Voir plus

Director, Data Science

Director, Data Science

MasterCardCA
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

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

Director, Data Science

Mastercard is seeking a Director of Data Science to lead the development and delivery of advanced AI and machine learning solutions for Consumer Clarity — Mastercard’s product that enhances consumer purchase experiences.
This is a senior leadership role, responsible for defining the data science strategy, 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 leadership and stakeholder management skills to drive measurable business impact.

Responsibilities:
Leadership & Strategy
• Define and execute the data science vision and roadmap for the product enhancement, aligning 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