Sr. Data Scientist
Mastercard•3h ago
CanadaOnsiteCA$111K–CA$160KFull-timeMid Level2+ yrs exp
Top focus
Data ScientistVp Data
- 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 Sr. Data Scientist Overview: Services within Mastercard is responsible for acquiring, engaging
- retaining customers by managing fraud and risk, enhancing cybersecurity
- improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights
- execution. The Cyber and Intelligence Solutions team is responsible for innovation, development and management of our products and services to address evolving risk and security needs for all of Mastercard’s customers across the world including Banks, Merchants, Fintechs and of course consumers. The Role:
- Work with our intelligence teams to identify new breach techniques, and build technology to scan, identify, and protect our customers.
- Conduct analysis of transaction level data to develop new ways of detecting fraud
- Build systems to be used by global banking networks to detect cyber attacks
- Leverage AI models to provide automated transaction risk decisions All About You:
- Bachelor’s/Accelerated Master’s Degree
- Passion for Cybersecurity and profound interest in learning new tools, threat vectors, attack techniques, technologies, and best practices in preventing against cybersecurity incidents
- Familiarity with cybersecurity landscape and major threats and trends that have garnered industry attention
- Coursework in Applied Mathematics or Statistics
- Data and analytics – understanding of statistical analysis predictive modeling, aptitude in displaying and communicating data analysis , and desire to conduct data-driven experiments and create data-driven products
- Strong oral and written communication skills (presentations, publishing papers, blogs)
- Self-starter with passion for solving problems
- High energy level; flexible, adaptive and strong collaborator
- Well planned, organized & structured to manage time & work effectively 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: $111,000 - $160,000 CAD
Required skills
Data AnalysisCybersecurityStatistical AnalysisPredictive ModelingAI