WHAT IS THE OPPORTUNITY?  

In this role as a Director, Data Science, you will analyze, design and implement data science/machine learning solutions using RBC’s enterprise suite of analytics tools.  The group specializes 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, the group applies machine learning and statistical modeling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made.   

The purpose of this job is to analyze data using statistical, machine learning, and analytics techniques to solve complex problems, discover insights and identify business opportunities. 

WHAT WILL YOU DO?  

• Autonomously direct data science initiatives to uncover business value using statistical, machine learning and analytics techniques.
• Prepare and integrate large and varied datasets and implement statistical and machine learning models using Python and R.  Deploy production-scale solutions, transforming statistical and machine learning models from single-node architecture to parallel processing grid technology.  Create software packages that can be reused inside the enterprise.
• Deploy production-scale solutions, transforming statistical and machine learning models from single-node architecture to parallel processing grid technology.
• Use deep business domain knowledge to independently lead the analytics process to identify valuable and innovative insights.
• Create software packages that can be reused inside the enterprise.
• Promote analytics across the enterprise to enable RBC to become a data-driven organization.

WHAT DO YOU NEED TO SUCCEED?

Must have

• Bachelors or Master’s Degree in Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology, Psychology
• Expert working knowledge of Python, R, Java, and SQL
• 5+ years of experience in Machine-Learning, data mining, and statistics.
• Strong knowledge of design, development, and implementation experience utilizing data science technologies.
• Ability to perform complex data analysis on large volumes of data and present findings to stakeholders.

Nice-to-have:   

• Familiar with a Linux environment and shell scripting.
• Expert data extract, transform, and load processes with a variety of data types
• 5+ years of experience with big data technologies – Hadoop (Pig, Hive), NoSQL/SQL databases, parallel processing techniques, and Apache Spark

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

RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same.  Reasonable accommodation is available where required by law.