Lead Machine Learning Engineer (Developer) - IDS1117

Our Purpose We aim to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Our secure data and networks, partnerships, and passion drive our technological innovations and solutions, helping individuals, financial institutions, governments and businesses to reach their full potential. Our Decency Quotient or DQ influences our culture and all our actions, both within and outside the company. We nurture an inclusive culture for all our employees, acknowledging and respecting their unique strengths, perspectives, and experiences. We believe our differences make us a more effective team, enabling us to make superior decisions, foster innovation, and achieve better business outcomes. Title and Summary Lead Machine Learning Engineer (Developer) - IDS1117 Who is Mastercard? Mastercard is a global technology company in the payments industry. We enable payments and offer products and services for people and industries all over the world. Our people, technology, data, and brand are the drivers of our success. We believe in connecting individuals to priceless opportunities. As a company, our success depends on the skills, experience, integrity, and mindset of the talent we recruit. By building an inclusive, world-class culture, we provide employees with tremendous opportunities to be part of teams that have a significant impact on our community and the world. We welcome you to join our team and discover how you can initiate something priceless. Overview Mastercard's Cyber & Intelligence organization creates and provides world-class security products and services for clients worldwide. NuData Security, a Mastercard company, anticipates fraudulent transactions by distinguishing good users from bad based on their online behaviour. By examining over 38 billion behaviours annually, NuData leverages behavioural and biometric analysis to empower its clients to predict fraud and authenticate the user behind the device. This capability enables clients to predict fraud before a critical decision, minimize customer insult, and efficiently investigate malicious actors. Role We seek a Lead ML Software Development Engineer to join our Data Science and Machine Learning Platform team in our Vancouver office. This technical role involves designing, developing, and deploying machine learning systems supporting Data Science solutions. Our ideal candidate would have experience in designing data flows, optimizing workflows in big data environments, functional programming, and an in-depth understanding of ML concepts, along with leadership experience. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard handles activities involving access to Mastercard assets, information, and networks. These activities inherently pose a risk to the organization. Therefore, everyone is expected to follow Mastercard’s security policies and practices, ensure the confidentiality and integrity of accessed information, and promptly report any suspected information security violation or breach. It is also mandatory to complete all periodic security trainings following Mastercard’s guidelines. Pay Ranges Vancouver, Canada: $124,000 - $192,000 CAD