QA Engineer, Data Science

Job Overview

Job title: QA Engineer, Data Science

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 QA Engineer, Data Science

Job Description

What will you do?·

· Design and implement unit and integrations tests covering machine learning models with a variety of data sets

· Create statistical robustness tests for trained models, including simulated dataset replicating real-world scenarios
· Create detailed, comprehensive, and well-structured test suites using programming languages such as Python and debug and define corrective action
· Creating a measure to quantify the quality of data and models
· Design and Develop validation framework for ML models, including track quality assurance metrics
· Collaborate with Data Scientist to understand data and models
· Utilizing the latest technologies available you will be designing and building data solutions to meet business needs
· Constantly seeking better ways to do things and automate processes using new tools & new technologies
· You will be an active contributor to not only the team, but to the RBC development community

What do you need to succeed?

Must-have
· Bachelor’s degree in Computer Science, Computational Science, or a related field
· Demonstrated passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping others

· Quality Assurance experience
· Working knowledge of big data environments
· Strong foundational knowledge of statistics, statistical tests and run controlled trials
· Strong communication and organizational skills, ability to multi-task and manage time effectively

Nice-to-have
· Experience with distributed analytics platforms (Hadoop, Spark)
· Experience with Information Security concepts
· Experience in an Agile Environment

Job Summary As the QA Engineer, Data Science you will use quality assurance experience, statistics and machine learning knowledge to test robustness and efficacy of the machine learning (ML) developed by the data scientists in the team. You will work with data scientists, business SME to understand the business object and design the test cases to validate the ML model to ensure that it is able to meet that business objective, additionally suggest improvements to the ML models, create solutions to improve the quality of QA process.

Address: TORONTO, Ontario, Canada

City: CAN-ON-TORONTO

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: Technology and Operations

Job Type: Regular

Pay Type: Salaried

Posted Date: 2022-11-15-08:00

Application Deadline:

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

Company: Royal Bank of Canada

Expected salary:

Location: Toronto, ON

Job date: Thu, 17 Nov 2022 06:12:10 GMT

Job Source: Careerjet.ca

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