Data Scientist
Canada: Mastercard Canada ULC, MCI
- Toronto, Ontario, Canada
- Toronto, Ontario, Canada
Über
• 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-add.
• Collaborate with cross-functional teams including product, engineering, and operations to deliver scalable solutions.
• Translate clients 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 is a plus.
• Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis.
• Experience with cloud platforms, such as AWS, is a plus.
• Familiarity with the payment card industry, fraud, and cyber security is a plus.
• 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 is a plus.
• 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 against 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 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. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.
Sprachkenntnisse
- English
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