Data Scientist: ML, Causal Inference & Growth Impact

Monograph; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading financial infrastructure company in Toronto is seeking Data Scientists to analyze data and build models to optimize systems and drive strategic decisions. The ideal candidate has 3-8+ years of experience in data science, proficiency in SQL and Python or R, and strong skills in machine learning and statistics. Join a dynamic team to influence key business areas while leveraging rich data to improve company strategy and user interactions.

Qualifications

• 3-8+ years of data science/quantitative modeling experience.
• Experience working with cross-functional teams.
• Ability to manage and deliver on multiple projects with high attention to detail.

Responsibilities

• Optimize systems and leverage data for strategic business decisions.
• Partner with various teams to drive impact through data insights.

Skills

SQL proficiency

Python or R

Machine learning

Statistics

Optimization

Product analytics

Causal inference

Experimentation

Business acumen

Education

PhD or MS in a quantitative field

Tools

Spark

Hadoop

Job description

A leading financial infrastructure company in Toronto is seeking Data Scientists to analyze data and build models to optimize systems and drive strategic decisions. The ideal candidate has 3-8+ years of experience in data science, proficiency in SQL and Python or R, and strong skills in machine learning and statistics. Join a dynamic team to influence key business areas while leveraging rich data to improve company strategy and user interactions.