Data Scientist - Toronto, Canada - Royal Bank of Canada

Royal Bank of Canada

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

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
Data Scientist

What is the opportunity?

As Enterprise Compliance - Data Scientist, you will develop, design, and implement organization-wide analytics for the RBC Enterprise Compliance Innovation, Transformation and Data Analytics team.

Providing Business Intelligence by leveraging leading edge technologies and various data sets, you will also build Data Science based insights to facilitate informed decision-making and business process optimization in order to create efficiencies and effectiveness of RBC Regulatory Compliance services which save considerable amount of costs and also improve user experience.

What will you do?

Collaborate proactively with various business and operation units to identify business opportunities and designing innovative solutions to optimize processes and promote informed decisionmaking
Develop Business Intelligence POCs, including work on challenging and researchbased initiatives using advanced machine learning methods focusing on tangible outcomes
Prepare insights using large and various types of data (structured/nonstructured)
Implement machine learning models, data mining methods, and statistical analysis
Leverage visualization tools/packages to create powerful representations of results
Produce datadriven insights to help in informed decisions and actions by telling a convincing story and effectively communicate findings to business partners and executives
Collaborate with the Innovation and Transformation team to deploy productionscale solutions
Quickly learn new methods, tools and technologies presented in research communities to implement and adapt within the daily analytics exercises
Support the development of data pipelines and onboard scheduled processes to DataIKU and later transition Big data tools and technology including Hadoop, YARN, Pyspark and Hive.

What do you need to succeed?

Must-have

Degree in Mathematics, Statistics, Computer Science, or relevant fields.
Expert in Python programming to write productionready codes.
Expert with Tableau and data visualizations techniques
Strong data profiling, cleaning, mining and technical documentation skills
Expert with Pyspark/Python, R and SQL
Practical knowledge of Data Science algorithms and techniques
2+ years of experience in developing machine learning models for real business problems
2+ years of experience with NLP and text analytics methods and packages
Strong communication and presentation skills

Strong mathematical skills, able to learn quickly and write complex calculations (translating qualitative methodologies/standards to quantitative output)

Prior experience creating end to end data pipelines (ETLs)
Expert data extract, transform, and load processes with a variety of data types
Experience with developing stored procedures and triggers, import/export data, develop complex queries using various JOINs, in various data sources (MS SQL Server, Oracle, MS Access, etc)
Experience with big data technologies parallel processing techniques and Apache Spark, NoSQL/SQL databases
Strong data profiling, cleaning and mining
Strong communication and presentation skills

Nice-to-have

Prior experience with Big Data tools and technologies, DataIKU, and working experience
Experience with big data technologies noSQL/SQL databases, parallel processing techniques and Apache Spark
Prior experience with Data Warehousing
Experience with creation and maintenance of tables and databases.
Familiar with a Linux environment and shell scripting.
Strong knowledge and experience of different deep neural networks architectures (RNN, CNN, GAN, seq2seq/Transformers) and transfer learning
Experience with MLOps to build endtoend pipeline and deploying models in production
Familiar with containertype environment: Docker, Openshift
Experience in graph analytics and timeseries analysis

What's in it for you?

We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed 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,
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and highperforming team