Staff Data Scientist - AIOps & Production ML

RBC; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution in Toronto is looking for a full stack Data Scientist to enhance operational efficiency through AI and big data. The ideal candidate will possess over 5 years of industry experience, expertise in machine learning and programming, and a strong analytical background. This position requires collaboration with engineering teams and the ability to manage various data sources to drive innovative solutions. The role offers competitive compensation and comprehensive rewards programs.

Benefits

Comprehensive Total Rewards Program

Opportunities to take on progressively greater accountabilities

Access to a variety of job opportunities

Qualifications

• 5+ years of industry experience required working on real-world problems.
• Experience working with both technical and non-technical stakeholders.
• Strong communication, collaboration, and problem-solving skills.

Responsibilities

• Lead full life-cycle Data Science solutions from model deployment to monitoring.
• Develop predictive data models and conduct quantitative analyses.
• Utilize APIs to collect and integrate data from various products.

Skills

Machine Learning (ML)

Natural Language Processing (NLP)

Python

SQL

Data Science

Big Data Management

Education

University, Master or Ph.D. degree in an analytical field

Tools

Azure

AWS

Tableau

Looker

Power BI

Apache Spark

Job description

A leading financial institution in Toronto is looking for a full stack Data Scientist to enhance operational efficiency through AI and big data. The ideal candidate will possess over 5 years of industry experience, expertise in machine learning and programming, and a strong analytical background. This position requires collaboration with engineering teams and the ability to manage various data sources to drive innovative solutions. The role offers competitive compensation and comprehensive rewards programs.