Job Title

OverviewStaff Data Scientist, Global Security RBC Dominion SecuritiesPosted October 29, 2025Job detailsWhat is the opportunity? We have an exciting opportunity in Global Cyber Security. As a Staff Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber threats. You will collaborate closely with cross-functional teams to translate complex technical insights into actionable strategies, driving significant business impact and safeguarding RBC clients and data. Data Science allows us to identify trends, anticipate malicious behaviors, perform pattern matching, discover new threats, and predict the outcomes of future events. Working as part of the Security Insights and AI, you'll specialize in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, you will apply machine learning and statistical modelling techniques to help RBC to proactively defend its digital information.What will you do?Work closely with stakeholders to understand their needs and build solutions using advanced machine learning methods in the domains of fraud, cybersecurity, and data privacyDesign and implement end-to-end data pipelines: from data cleaning to model development to writing production level codeLead complex data science projects from inception to completionQuickly learn new methods, big data tools and technologies presented in research communities to implement and adapt within our data products and modelsCollaborate proactively with various business and operation units to design innovative solutions to optimize processes and deploy production-scale solutionsWork on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomesMentor and guide junior data scientistsWhat you need to succeedMust have:Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Engineering) with a strong theoretical foundationProven expertise in developing and deploying complex machine learning models, including deep learning architectures, for solving challenging problemsHighly proficient programming skills (Python, PySpark) and a deep understanding of statistical modeling, data mining techniques, and big data technologiesDemonstrated ability to translate complex technical concepts into actionable insights and communicate effectively with both technical and non-technical stakeholdersPassion for innovation and curiosity to explore emerging technologies and methodologiesNice-to-have:Previous experience in cybersecurity/fraud domainsExperience with MLOps to build end-to-end pipeline and deploying models in productionExperience with graph analyticsExperience with cloud platforms (AWS, Azure, GCP)What's in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamA world-class training program in financial services.Opportunities to do challenging workLocation and termsLocation: Toronto, ONWork location: On siteSalary: 29.74 to 64.90 hourlyTerms of employment: Permanent employment, Full timeStarts as soon as possibleVacancies: 1 vacancySource: CareerBeaconAdvertised until2025-11-28Important notice: This job posting has been provided by a partner site. Job Bank is not responsible for this content.Thank you for your help!You will not receive a reply. For enquiries, please contact us.Sign up for a Plus account to get the most out of your job search and access all the tools available on Job Bank!The median wage is the salary of a given occupation where half the workers earn more than that amount, and half earn less. This information is presented on job postings to help job seekers determine how the salary compares to the amount earned by other workers working the same job. Job Bank preferred indicating the median wage, which is less affected by extremely high or low wages, rather than the average wage which is calculated by adding up all the salaries of a group of people and then dividing that total by the number of people. #J-18808-Ljbffr