Jobs in Canada

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Added 1 month ago
T
Data Engineer (Data Modeling/Data Governance)
Tangerine
Toronto, ON
- Full-time
Develop cloud-based data solutions using GCP, BigQuery, Apache Airflow, Informatica, Python, and SQL.
Added 1 month ago
Senior AI Engineer
Scotiabank
Toronto, ON
Partner closely with product, data, and engineering stakeholders to deliver AI capabilities that drive tangible outcomes
Added 1 month ago
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Field Data Scientist
Mastercard
Toronto, ON
- Full-time
- Work with customer IT and engineering resources to QA their integration of Identity API products and ensure the correct data is available for modeling.
Added 1 month ago
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Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
-Experience with Python and Spark for data manipulation is required.
Added 1 month ago
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Senior Business Analyst / Data Analyst (Security Master)
Royal Bank of Canada
Toronto, ON
- Full-time
Cross-Functional Collaboration: Act as the primary bridge between engineering teams, external data vendors, and downstream product owners to ensure data models align with business needs.
Added 1 month ago
DevOps Engineer, AFT
Amazon
Toronto, ON
…Management Systems). You'll collaborate with over 100 core engineering teams across multiple locations, developing automation for recurring manual infrastructure-related tasks, software…
Added 1 month ago
TC
Intelligent Grid Solutions Intern
TRC Companies, Inc.
Calgary, AB
- Part-time
Pursuing Masters, Bachelor or Associate Degree in Computer Science, Data Science, Electrical Engineering, Power Systems Engineering, Computer Engineering or related field.
Added 1 month ago
SC
Director, Analytics & Insights
Securian Canada
Waterloo, ON
- $130,000 to $170,000 CAD / year
- Full-time
Reporting to the AVP, Data Solutions, you'll lead a multidisciplinary team responsible for Analytics & Insights, Business Intelligence, and Analytics Engineering. Working across business…
Added 1 month ago
SC
Director, Analytics & Insights
Securian Canada
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
Reporting to the AVP, Data Solutions, you'll lead a multidisciplinary team responsible for Analytics & Insights, Business Intelligence, and Analytics Engineering. Working across business…
Added 1 month ago
Systems Engineer - Managed Services
Exchange Technology Services Inc.
Winnipeg, MB
Conduct regular DR backup testing and ensure proper data retention strategies are followed.
Added 1 month ago
YU
Senior Integration Developer
York University
Toronto, ON
- Full-time
University Degree in a relevant field such as Computer Science, Engineering, IT, Data Science, Applied Mathematics, Management Information System or an equivalent of four (4) years of…
Added 1 month ago
SC
Senior Analytics Engineer
Securian Canada
Waterloo, ON
- $100,000 to $130,000 CAD / year
- Full-time
Working closely with Analytics & Insights, Business Intelligence, Data Pipeline Engineering, Data Governance, and business partners across the organization, you'll contribute to a scalable…
Added 1 month ago
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Oracle PL/SQL Developer
Capgemini
Mississauga, ON
- Full-time
…solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry…
Added 1 month ago
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Senior Automation Developer (Java)
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled Senior Automation Developer for a fully hands-on, programmatic engineering role dedicated to architecting, refactoring, and maintaining scalable, distributed…
Added 1 month ago
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Senior Business Analyst / Data Analyst (Security Master)
RBC
Toronto, ON
- Full-time
Cross-Functional Collaboration: Act as the primary bridge between engineering teams, external data vendors, and downstream product owners to ensure data models align with business needs.
Added 1 month ago
PG
Software Developer
PEER Group
Kitchener, ON
- $70,000 to $102,000 CAD / year
- Full-time
Four days per week on-site
Added 1 month ago
SC
Senior Analytics Engineer
Securian Canada
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Working closely with Analytics & Insights, Business Intelligence, Data Pipeline Engineering, Data Governance, and business partners across the organization, you'll contribute to a scalable…
Added 1 month ago
ME
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
- $95,000 to $135,000 CAD / year
- Full-time
Support the responsible adoption of AI technologies within cloud engineering workflows.
Added 1 month ago
RJ
Lead Engineer
Raymond James
Vancouver, BC
- Full-time
Design, build, and govern AI-enabled automations and agents that reduce engineering and operational effort while complying with the firm's AI usage governance and data-sensitivity…
Added 1 month ago
RR
Manager, Origination Analytics
Rev Renewables Ops, LLC
Oakville, ON
- $140,000 to $170,000 CAD / year
- Full-time
Bachelor’s Degree in Data Science, Economics, Marketing, Business, Engineering or a related field
Added 1 month ago
IC
AppOps, Analyst
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
…layers using logs, traces, metrics, diagnostics, and monitoring…
Added 1 month ago
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Gestionnaire, Développement analytique et des outils numériques pour la gestion des coûts produits / Manager, Analytics and digital tools development for product cost management
RTX
Longueuil, QC
- Full-time
Expérience avec Python, JavaScript, Databricks, Confluence, Jira, ADO et GitHub (atout)
Added 1 month ago
DC
GIS Analyst
Dillon Consulting Limited
Vancouver, BC
- Full-time
…You will be a member of Dillon’s GIS Discipline within the Data Integration Services Practice You will be a key part of our multidisciplinary group serving our public sector (federal,…
Added 1 month ago
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AVEVA Enterprise SCADA Specialist
SGS
Regina, SK
- $85,000 to $165,000 CAD / year
- Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 1 month ago
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AVEVA Enterprise SCADA Specialist
SGS
AB · Edmonton, AB
- $85,000 to $165,000 CAD / year
- Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…

Mastercard

Field Data Scientist

Toronto, ON, Canada

Full-time

Apply on mastercard.wd1.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 25, 2026

Original job description

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

Field Data ScientistWho 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 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 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 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.

- Experience in a customer-facing or heavily cross-functional role with data science centric project management experience.

- Excellent scripting and analysis skills in python and SQL.

- Excellent presentation and communication skills.

- Experience in a machine learning or data analytics capacity

- Ability to create and understand supervised machine learning models.

- 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.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: $91,000 - $140,000 CAD

Apply on mastercard.wd1.myworkdayjobs.com About employer

More about this job

Responsibilities

The Field Data Scientist will support sales and customer success teams by designing and implementing machine learning and rule-based fraud detection solutions. They will also act as a subject matter expert, advising internal product stakeholders on market feedback and new product development opportunities.

Requirements

Candidates must possess a degree in Computer Science, Data Science, or Engineering, along with strong scripting skills in Python and SQL. Proven experience in a customer-facing role and the ability to build supervised machine learning models are essential for this position.

Skills

Python
SQL
Machine learning
Data science
Fraud detection
Data analytics
Identity verification
API integration
Technical specifications
Customer success
Pre-sales
Risk decisioning
Data modeling
Communication skills
Presentation skills

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
Fraud Detection
Identity Verification
API
Risk Management
Cybersecurity
Data Analytics
Proof of Value
Product Development
Customer Success
Sales Support
Technical Specifications
Integration
Data Modeling
Payments Industry
Rules-based Systems
Supervised Learning

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Work requirements

Jobs in Canada