Job Description

What is the opportunity?  

In this role as a Senior Data Scientist 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.       

What will you do?

• Collaborate with key business partners and stakeholders to understand business objectives/opportunities and problem statements in order to provide solutions that align to business needs that are actionable with a tangible outcome

• Prepare and transform data (structured/non-structured)

• Develop and deploy ML solutions at scale

• Prepare, integrate large and varied datasets and implement statistical and ML models using Python and R.

• Leverage visualization tools/packages to story-tell and to convey data-driven insights with actionable recommendations to key stakeholders

• Quickly learn new methods, tools and technologies presented in research communities to implement, adapt and innovate

• Effectively communicate findings to business partners and executives.

What do you need to succeed?

Must-have  

• Bachelors or Master’s degree in Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology or Psychology.

• 3-5 years of experience in data solutions and applying data techniques.

• Strong knowledge of design, development, and implementation experience utilizing data science technologies.

• 3+ years of experience in machine learning, predictive analytics, and statistical modeling. Familiar with programing and scripting languages Python, R, Java and SQL.

• Excellent analytical, problem solving, time management and organizational skills.

Nice to have:

• Familiar with a range of data tools.

• Experience in programming, scripting languages and data visualization.

• Familiar with a Linux environment and shell scripting.

• Familiar with data extract, transform, and load processes with a variety of data types.