TL;DR

Staff Data Scientist (Data Science ML): Partner with product, engineering, and design teams to develop analytics and AI-driven insights improving core product experiences. Focus on designing experiments, user behavior analysis, segmentation strategies, and building executive dashboards to drive business growth and product optimization.

Location: Remote within Canada only (Alberta, British Columbia, Ontario, Saskatchewan)

Salary: $181,900–$246,100 CAD annually

Company

%hirify_global% is a Virtual First company focused on innovative, user-centered software solutions with a global distributed workforce.

What you will do

Perform deep analytical dives to identify problems, design and execute experiments, and derive insights on user engagement and behavior.
Create personalized segmentation strategies using propensity models for targeted offers and experiences.
Build automated reporting and executive dashboards tracking acquisition, monetization, and engagement trends.
Monitor and analyze multivariate experiments to optimize product experience and revenue.
Collaborate cross-functionally with Data Science, Marketing, Product, Engineering, Design, User Research, and executives to drive data-informed decisions.
Communicate complex concepts clearly to influence business strategy and priorities.

Requirements

Bachelor's or higher degree in quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, or Engineering.
8+ years of experience using analytics to drive business decisions including business/product/marketing analytics or strategy consulting.
Strong proficiency in SQL and understanding of statistical analysis, experimentation design, regression, and decision trees.
Experience running multivariate experiments to optimize product or revenue flows.
Excellent verbal and written communication skills with leadership and influence capabilities.
Ability to work independently and proactively engage with stakeholders.
Must be located in or authorized to work remotely from Alberta, British Columbia, Ontario, or Saskatchewan, Canada.

Nice to have

Product analytics experience in a SaaS company.
Master's or higher degree in a quantitative discipline.
Proficiency in programming/scripting languages and statistical packages like Python or R.

Culture & Benefits

Comprehensive medical, dental, and vision coverage.
Retirement savings plans based on location.
Flexible paid time off, holidays, and volunteer time off.
Income protection and business travel insurance.
Perks allowance for wellness, learning, and other personal needs.
Parental benefits including leave and fertility support.
Mental health and wellness programs.