Senior Business Data Scientist (Marketing)

TL;DR

Senior Business Data Scientist (Marketing): Building and evolving the quantitative foundation of marketing measurement with an accent on causal inference, incrementality testing, and marketing mix modelling. Focus on designing decision frameworks that guide millions of dollars in marketing investment and connecting acquisition activity to long-term customer value.

Location: Must be based in Edmonton, Toronto, Vancouver, or Kitchener-Waterloo and able to attend the office at least 1 day per week.

Salary: $151,200–$204,500

Company

hirify.global is a leading provider of field service management software, helping small businesses streamline operations and grow their revenue.

What you will do

• Design and evolve an integrated marketing measurement system including MMM, attribution, and incrementality testing.
• Apply causal-inference and statistical techniques to distinguish true incremental impact from correlation.
• Build predictive models for customer lifetime value, acquisition quality, and conversion propensity.
• Partner with Marketing and Finance leadership to inform budget allocation and channel investment decisions.
• Define analytical requirements and collaborate with Data Engineering to strengthen data foundations.
• Mentor team members and set high standards for statistical rigour and analytical documentation.

Requirements

• Must be based in Edmonton, Toronto, Vancouver, or Kitchener-Waterloo.
• Significant hands-on experience in digital marketing analytics or growth measurement in a SaaS environment.
• Expert-level SQL skills and proficiency in Python or R for statistical modelling.
• Deep practitioner-level knowledge of marketing mix modelling, attribution, and incrementality measurement.
• Strong business acumen with the ability to translate complex analytical findings into actionable recommendations for senior leaders.
• Experience operating independently in ambiguous environments and balancing methodological rigour with business needs.

Nice to have

• Experience with Bayesian modelling tools such as Meridian, Robyn, or PyMC-Marketing.
• Expertise in specialized causal-inference approaches like geo experimentation or synthetic control.
• Experience productionizing analytical applications or automated decision tools.

Culture & Benefits

• Comprehensive health benefits package with fully paid premiums.
• Retirement savings matching (RRSP, TFSA, or FHSA).
• Equity rewards and annual stipends for health and wellness.
• Dedicated talent development program with career coaching and leadership training.
• Supportive, humble team culture focused on customer success.