Staff Data Scientist - Cybersecurity ML & Production Pipelines

RBC Dominion Securities; Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

A leading financial services firm is seeking a Staff Data Scientist in Toronto to develop and deploy advanced machine learning models for cybersecurity. This role involves collaborating with various stakeholders, designing data pipelines, and mentoring junior scientists. Candidates should have an advanced degree in a quantitative field and expertise in machine learning and programming. The position offers a competitive salary and opportunities for professional growth.

Benefits

Comprehensive Total Rewards Program

Bonuses and flexible benefits

World-class training program

Qualifications

• Strong theoretical foundation in a quantitative field.
• Proven expertise in complex machine learning model development.
• Highly proficient programming skills in Python and PySpark.
• Ability to communicate complex concepts to diverse stakeholders.
• Passion for innovation and curiosity in emerging technologies.

Responsibilities

• Lead the development and deployment of machine learning models.
• Design and implement end-to-end data pipelines.
• Collaborate with stakeholders to build advanced machine learning solutions.
• Mentor junior data scientists on projects.

Skills

Machine Learning

Python

Data Mining

Statistical Modeling

Deep Learning

Big Data Technologies

MLOps

Graph Analytics

Education

Advanced degree in a quantitative field

Tools

PySpark

AWS

Azure

GCP

GCP

Job description

A leading financial services firm is seeking a Staff Data Scientist in Toronto to develop and deploy advanced machine learning models for cybersecurity. This role involves collaborating with various stakeholders, designing data pipelines, and mentoring junior scientists. Candidates should have an advanced degree in a quantitative field and expertise in machine learning and programming. The position offers a competitive salary and opportunities for professional growth.