Principal Data Scientist

Overview

Principal Data Scientist partnering with product development and executive teams to analyze customer product usage, adoption, outcomes, and behavior. The role applies data science to customer analytics, growth, retention, and business or product strategy.

What you'll do

• Apply data mining, analytics, and machine learning to understand customer product usage and adoption.
• Lead junior and senior data scientists and analysts.
• Apply statistical techniques to model customer behavior and trends.
• Build predictive and descriptive models for customer lifetime value and retention.
• Own complex data science projects from start to finish.
• Define and execute a data science roadmap with collaborators.
• Translate analyses into actionable business and product strategy.

What you'll need

• MS or PhD in mathematics, physical sciences, statistics or analytics, computer science, or a relevant field.
• Proficiency in Python.
• Experience with relational SQL and/or NoSQL databases.
• Experience with big data platforms including Hadoop, Spark, or Hive.
• Experience with statistical programming or data science tools.
• Knowledge of statistical concepts and machine learning techniques.
• Experience with reporting, data visualization, and customer analytics.

Details

• Remote role in Ontario, Canada.
• Starting base salary: $129,000–$189,200 per year.