Staff Data Scientist – Global Security

Job title:

Staff Data Scientist – Global Security

Company

Royal Bank of Canada

Job description

Job SummaryJob DescriptionWhat is the opportunity?We have an exciting opportunity in Global Cyber Security!As a Senior 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 behaviours, perform pattern matching, discover new threats, and predict the outcomes of future events. Working as part of the Joint Security Operations Center (JSOC), 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 do you need to succeed?
Must 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 servicesFlexible work/life balance optionsOpportunities to do challenging work#LI-Post#LI-Hybrid#TechPjJob Skills Artificial Intelligence (AI), Big Data, Big Data Analytics, Computer Science, Cybersecurity, Data Mining, Data Processing, Data Science, Decision Making, Deep Learning, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Models, TeamworkAdditional Job DetailsAddress: 330 FRONT ST W:TORONTOCity: TORONTOCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: TECHNOLOGY AND OPERATIONSJob Type: RegularPay Type: SalariedPosted Date: 2024-11-04Application Deadline: 2025-01-31Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at .

Expected salary

Location

Toronto, ON

Job date

Wed, 06 Nov 2024 05:52:52 GMT

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