Senior Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Come Work with Us!

At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

Job Title

Senior Data Scientist

Job Description

What is the opportunity?

As a Data Scientist you will analyze, design and implement data science solutions using RBC’s enterprise suite of analytics tools. Leveraging leading edge technologies and capabilities, we apply a variety of domain specific machine learning and statistical modelling 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?

• Interact with multiple RBC teams to understand, ideate and implement solutions, spanning multiple statistical/ML areas with key focus on Causal Inference, Recommender Systems, Experimental Design, Contextual Bandits, and Bayesian Inference.
• Prepare, parse and integrate large and varied structured and unstructured data sets to build statistical and machine learning models.
• Work with stakeholders to validate and quantify accuracy and precision of analysis and business impact
• Work closely with other product team members and present findings to stakeholders clearly
• Deploy solutions for end-users and help drive impact/change

What do you need to succeed?

Must-have

• BSc, Master or PhD in Computer Science, Statistics or Mathematics or similar fields. Ideal candidates will have 2+ years of hands-on experience
• Experience with machine learning and statistical methods, exploratory data analysis, data visualization, model assessment and selection
• Experience with common statistical, machine learning and deep learning libraries and frameworks
• Proficient in programming languages such as Python, R, Scala/PySpark
• Familiarity with collaborative software development tools (git, issue tracking)
• Ability to perform complex data analysis and present findings to stakeholders. Strong interpersonal and communication skills (both written and verbal) across peers and senior leaders

Nice to have

• Strong knowledge of design, development, and implementation data science technologies.
• Experience deploying models into productions as Rest APIs, batch jobs or dashboards.
• Experience implementing Service Oriented Architectures.
• Passion for writing high-quality, maintainable and robust code.

What’s in it for you?

We thrive on the challenge to be our best, encourage progressive thinking to keep growing, and believe in working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, about reaching our potential, about 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 opportunities to grow
• Ability to make a difference and have a lasting impact
• A world-class training program in financial services
• Flexible work/life balance options

Job Summary

Address:

CALGARY, Alberta, Canada

City:

CAN-AB-CALGARY

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Technology and Operations

Job Type:

Regular

Pay Type:

Salaried