Data Scientist
RBC
Toronto, Ontario, Canada
3d ago

What is the opportunity?

As a Full-Stack Data Scientist, you will analyze, design, and implement AIOps solutions at RBC Technology Infrastructure (TI).

Leveraging leading edge technologies and various data sets, you will apply machine learning and statistical modelling techniques to facilitate informed decision-making and business process optimization.

Moreover, designing and implementing end-to-end machine learning products will be part of your journey.

What will you do?

  • Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes
  • Provide analytics support to all TI pillars. This involves collaborating proactively with various business and technical units to identify business opportunities and designing innovative solutions to optimize processes and promote informed decision-making.
  • Prepare and integrate large and various types of data (structured / non-structured)
  • Implement machine learning models, data mining methods, and statistical analysis
  • Leverage visualization tools / packages to create powerful representations of results
  • Produce data-driven insights to help in informed decisions and actions by telling a convincing story
  • Effectively communicate findings to business partners and executives
  • Collaborate with the development team to deploy production-scale solutions
  • Quickly learn new tools and technologies and use them in the daily analytics exercises
  • What do you need to succeed?

    Must-have

  • Bachelor, Masters or PhD. in Computer Science, Statistics, or relevant fields.
  • Expert in Python programming to write production-ready codes
  • Strong data profiling, cleaning, mining and technical documentation skills
  • 2+ years of experience in building machine learning models (Supervised / Unsupervised)
  • 2+ year(s) experience with NLP and text analytics methods and packages
  • Experience building end-to-end pipeline and deploying machine learning models
  • Experience with big data technologies parallel processing techniques and Apache Spark, Hadoop ecosystem, NoSQL / SQL databases
  • Experience with container-type environment : Docker, Kubernetes, Openshift, PCF
  • Experience with custom Web interfaces, API calls, and systems integration
  • Familiar with Linux environment, shell scripting, and Git
  • Experience working in an agile environment
  • Nice-to-have

  • Software engineering background with a focus on statistics and / or analytics
  • Experience in deep learning methods for NLP in Tensorflow or Pytorch
  • Familiar with Technology Infrastructure
  • Learn more about RBC Tech Jobs

    About RBC

    Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization.

    We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis.

    We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.

    S. and 37 other countries. For more information, please visit

    rbc.com.

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    Stay 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 rbc.com / careers .

    Inclusion and Equal Opportunity Employment

    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal / Native American status or any other legally-protected factors.

    Disability-related accommodations during the application process are available upon request.

    City : Toronto

    Address : 330 Front Street, Toronto, ON

    Work Hours / Week : 37.5

    Work Environment : Office

    Employment Type : Permanent

    Career Level : Experienced Hire / Professional

    Pay Type : Salary + Variable Bonus

    Required Travel(%) : 0

    Exempt / Non-Exempt : N / A

    People Manager : No

    Application Deadline : 03 / 31 / 2020

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