Manager, Data Science (Fintech)

TL;DR

Manager, Data Science: Leading a team to define and execute end-to-end data science roadmaps for lifecycle marketing initiatives across financial products with an accent on measurement, experimentation, and ML model development. Focus on designing incrementality measurement, scaling machine learning models, and translating complex analytical findings into actionable business recommendations.

Location: Toronto, Canada (Onsite)

Company

hirify.global is a global financial technology platform powering prosperity for individuals and communities with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Lead a team of marketing data scientists in defining and executing end-to-end data science roadmaps for lifecycle marketing across QuickBooks Services and Mailchimp.
• Own the measurement, experimentation, and modeling strategy for lifecycle marketing initiatives, leveraging causal inference and advanced analytics.
• Design, evaluate, and scale incrementality measurement approaches to quantify the true impact of marketing programs.
• Drive development and adoption of machine learning models for use cases like propensity scoring, churn risk, and personalization.
• Translate complex analytical findings into clear, data-backed perspectives and actionable recommendations for customer growth and revenue.
• Partner with cross-functional teams like Lifecycle Marketing, CRM Analytics, Product, and Finance to ensure metric alignment and data quality.
• Shape future data science capabilities by identifying gaps and influencing investments in experimentation, modeling, and data infrastructure.
• Manage and coach a team of data scientists and contractors, focusing on technical rigor, experimental design, modeling best practices, and data storytelling.

Requirements

• 7+ years of experience applying data science, advanced analytics, or quantitative methods to marketing, growth, or lifecycle use cases.
• Experience leading and developing teams of data analysts or data scientists.
• Strong expertise in statistics, experimental design, and causal inference, including A/B testing and incremental lift measurement.
• Hands-on experience building or operationalizing machine learning models in partnership with engineering or platform teams.
• Proficiency with SQL and Python (or equivalent) for data analysis, experimentation, and modeling.
• Proven ability to lead cross-functional analytical projects end-to-end.
• Strong data storytelling and influence skills, with experience presenting to senior leaders.

Nice to have

• Domain experience in lifecycle marketing, CRM, fintech, SaaS, or marketing technology preferred.

Culture & Benefits

• Competitive compensation package with a strong pay-for-performance rewards approach.
• Opportunity for cash bonus, equity rewards, and benefits.
• Focus on fair pay for employees through regular comparisons across ethnicity and gender categories.
• hirify.global is a global financial technology platform powering prosperity.
• Committed to finding new, innovative ways to help customers prosper.