Data Scientist

Mastercard; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading global payment solutions firm is seeking a highly skilled Data Scientist to join their Cyber Analytics team. This role involves building innovative data-driven solutions and enhancing fraud detection capabilities. The ideal candidate should have experience in machine learning, data mining, and familiarity with cloud platforms like AWS. Strong communication and collaboration skills are essential, as you will work closely with various teams to drive strategic decisions in cybersecurity and payment fraud.

Qualifications

• Experience working with large‑scale distributed data processing frameworks.
• Recognized data science related certifications a plus.
• Previous work experience in data science in the payments or cybersecurity industry.

Responsibilities

• Build and maintain data-driven analytical solutions.
• Identify compromised payment accounts through data analysis.
• Collaborate with cross-functional teams to deliver scalable solutions.

Skills

Building machine learning models in Python

Data management and data mining with SQL

Experience with Apache Spark and Hadoop

Excellent communication skills

Familiarity with fraud and cybersecurity

Education

Bachelor's in Data or Computer Science or related field

Tools

AWS

Job description

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.

Data Scientist

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.

We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains.

You Will

• Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services.
• Identify compromised payment accounts through internal and external data feeds, scanning for anomalies in payments at merchant locations, tracking common points of purchase for compromised cards, and assessing additional data sources for value-added.
• Collaborate with cross‑functional teams including product, engineering, and operations to deliver scalable solutions.
• Translate client and stakeholder needs into technical analyses and/or solutions. Communicate results and business impacts of insight initiatives to senior leadership and stakeholders.

All About You

• Experienced in building machine learning models in Python.
• Experience working with large‑scale distributed data processing frameworks, such as Apache Spark and Hadoop.
• Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis.
• Experience with cloud platforms, such as AWS.
• Familiarity with the payment card industry, fraud, and cyber security.
• Excellent communication, good presentation skills. Able to partner with a diverse set of stakeholders, from product to engineering to marketing and legal. Incisive understanding of customer needs.
• Bachelor’s in Data or Computer Science, Information Technology, Engineering, Mathematics, Statistics, or similar field.
• Recognized data science related certifications a plus.
• Previous work experience in data science, ideally in the payments- or cybersecurity-related industry.
• Excellent quantitative, technical, and communication skills.
• Self‑motivated, curious, operates with a sense of urgency.
• Passion for cybersecurity and profound interest in learning new tools, threat vectors, attack techniques, technologies, and best practices in preventing cybersecurity incidents.

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 [e-mail] 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

• 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.
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.