Full Stack Data Scientist
Royal Bank of Canada
Toronto, Ontario, Canada
3d ago

What is the opportunity?

Data and Analytics (DNA) team is looking for Full Stack Data Scientists to design, implement, and maintain data pipelines, products and machine learning systems that transform source data into actionable insights to drive business value through reusable and scalable machine-

learning-based software. You will deploy production-scale solutions that can consume large and varied datasets using modern and scalable architectures and technologies.

You will also apply design-thinking and agile mindset in working with machine, teaching engineers, data scientists, and business stakeholders to continuously experiment, iterate and deliver on new initiatives.

With your passion you will drive transformation by continuously looking for ways to automate existing processes, testing, & optimize data quality.

If this is sounds like you, we want to meet you!

What will you do?

  • Design, implement, and maintain reusable and scalable machine learning models.
  • Design, implement, and maintain batch and real-time machine learning data pipelines.
  • Design high-level solution and data architecture for data products and machine learning systems.
  • Create reusable solution patterns and tools to deliver solutions faster.
  • Define, share, and implement best practices, processes and methodologies for building data products.
  • What do you need to succeed?

    Must-have :

  • Expert in developing, testing, and delivering software products
  • Expert software development skills (e.g. Scala, Python)
  • Hands-on experience with Big Data ecosystem tools (e.g., Spark, Kafka, Hive, Sqoop) and experience with NoSQL databases (e.
  • g., Hbase, Cassandra, Druid)

  • Experience with both batch and streaming big data processing
  • Excellent knowledge of SQL and relational databases (e.g. Teradata, SQL Server, DB2, MySQL)
  • Excellent knowledge of machine learning libraries (Spark MlLib, pandas, scikit-learn, Tensorflow)
  • Nice-to-have :

  • 5+ years of experience with software engineering
  • 2+ years of experience with big data technologies
  • Experience architecting big data solutions and design thinking
  • Attention to client focus and client service
  • 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 applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work / life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Opportunities to building close relationships with clients
  • 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

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    being of our clients and communities at .

    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.

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