Staff Data Scientist

What’s the opportunity?

We’re looking for a critical problem solver who’s eager to build data science solutions to solve real world business problems. As a staff data scientist in RBC Borealis, you will be playing a key role in every stage of the development from problem formulation, data exploration, methodology research, model development to deployment and monitoring. You will collaborate with business partners and engineering teams to deliver impactful AI products that drive business value.

At Borealis AI, you’ll be joining a fast paced, dedicated and passionate team that works directly with leading machine learning researchers, engineers and product management teams to deliver value back to RBC clients. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products.

Your responsibilities will include:

• Building data science and AI solutions that facilitate impactful initiatives.
• Developing an understanding of stakeholder requirements and implementing solutions associated with these needs.
• Leading data exploration and analytics projects to uncover and communicate business insights.
• Collaborating with other engineering teams to ensure the quality of machine learning model deployment and monitoring.
• Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.

You’re our ideal candidate if you:

• have master’s degree in Computer Science, Statistics, Mathematics, Engineering, or other quantitative field of study.
• have 3+ years of experience building advanced models in a business context, including but not limited to regression, recommendation system, natural language processing, large language model or other ML techniques and frameworks.
• are able to formulate and drive a data science project independently without close supervision.
• are proficient in programming languages SQL and Python for building data pipeline and machine learning model.
• have professional communication and presentation skills, and ability to effectively communicate analytical concepts and results to technical and non-technical audiences.
• have experience applying large language models to business use cases
• are strategic thinker with excellent interpersonal skills to work across functions and businesses

What’s in it for you:

• Be part of a dynamic & flexible working environment;
• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
• Leaders who support your development through coaching and managing opportunities;
• Ability to make a difference and lasting impact from a local-to-global scale.

About Borealis AI:

Borealis AI, an RBC Institute for Research, is a curiosity-driven research center dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centers in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, Large Language Models, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

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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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above