Lead Data Scientist, Customer & Growth Analytics (AI)

Location: Hybrid, Toronto, Ontario, Canada. Work from anywhere is available for up to 8 weeks per year as part of the benefits.

Base compensation: $140,600–$190,600 CAD, with potential eligibility for an annual bonus.

Company

hirify.global provides trusted content, software, data, intelligence, and technology for legal, tax, accounting, compliance, government, and media professionals.

What you will do

• Design, build, maintain, validate, and monitor predictive models for customer expansion, propensity to upgrade, and engagement scoring.
• Use behavioral, product usage, firmographic, lifecycle, campaign, and learning data to identify readiness for AI adoption and expansion.
• Partner with Lifecycle Marketing to turn model outputs into actionable customer segments and testable lifecycle hypotheses.
• Operationalize models in the Treasure Data Customer Data Platform and downstream activation workflows with Marketing Operations.
• Support experimentation by defining success metrics, analyzing lift, interpreting results, and informing optimization decisions.
• Document modeling approaches and collaborate with Data Engineering, Product, Customer Success, Commercial, and other cross-functional teams on data quality and aligned outcomes.

Requirements

• 5+ years of experience in data science, analytics, or applied machine learning in a B2B SaaS or subscription-based environment.
• Experience building predictive or classification models that influence customer growth, retention, or expansion decisions.
• Strong proficiency in Python or similar data science tools, including feature engineering and model evaluation.
• Experience working with large, complex datasets such as product usage data, behavioral logs, or campaign data.
• Experience partnering with Marketing, Growth, or Customer Success teams to translate insights into action.
• Strong understanding of experimentation, model validation, and measuring impact with statistical and business metrics.
• Ability to clearly communicate technical concepts and insights to non-technical stakeholders.
• Curiosity, ownership, and a strong bias toward building models that are used and deliver measurable outcomes.

Nice to have

• Familiarity with deploying or activating models within analytics platforms or customer data platforms.
• Experience with Treasure Data or similar platforms.

Culture & Benefits

• Flexible hybrid work environment with digitally and physically connected collaboration.
• Flexible work policies supporting personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
• Continuous learning, skills development, tuition reimbursement, and career growth programs.
• Flexible vacation, two company-wide mental health days, Headspace access, retirement savings, incentive programs, and wellbeing resources.
• Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
• Inclusive workplace focused on customer impact, transparency, learning, collaboration, and work-life balance.

Hiring process

• Recruitment may use an AI assessment tool to compare candidate information with the role requirements; a human makes the final consideration decision.