Staff Data Scientist (Fintech)

TL;DR

Staff Data Scientist (Fintech): Building and optimizing data products for client conversion and sales/CXO teams with an accent on operations analytics, modeling, and improving account transfer experiences. Focus on uncovering systemic operational failures, building scalable data models for risk detection, and translating insights into product and operational improvements.

Location: Remote, must be based in Canada. Employees can work outside of Canada for up to 90 days per calendar year.

Company

hirify.global is Canada's largest fintech company, empowering over 3 million users to achieve financial freedom by making financial services transparent and low-cost through smart technology.

What you will do

• Define and own the end-to-end analytical and modeling strategy for Account Transfers with high autonomy.
• Execute deep investigations across complex, structured, and unstructured datasets to uncover systemic operational failures and improvement opportunities.
• Design and build scalable data models and analytical frameworks for proactive transfer failure identification and early risk detection.
• Apply advanced modeling techniques (e.g., clustering, segmentation, predictive modeling, causal analysis) to identify transfer behavior archetypes.
• Partner closely with Product, CX, Operations, and Engineering leaders to translate analytical insights into product roadmap decisions and operational process design.
• Build and productionize data products (ML models, dashboards, decision tools) and measure their impact on transfer success, client experience, and efficiency.
• Act as a technical and analytical leader, defining best practices, mentoring senior data scientists, and influencing data strategy.

Requirements

• 7–10+ years of experience in data science, applied statistics, analytics, machine learning, or operations research.
• At least 3-5 years in Senior or Staff-level roles.
• Strong background working with complex, multi-step operational systems (e.g., operations, payments, transfers, risk, fraud, compliance).
• Experience applying operations research techniques such as optimization, simulation, queuing theory, or decision modeling.
• Deep expertise in statistical analysis, experimentation, and inference on real-world data.
• Hands-on experience building predictive and prescriptive models (e.g., classification, regression, anomaly detection).
• Expert SQL skills, including complex joins, window functions, and performance optimization.
• Excellent Python skills for data analysis, modeling, optimization, and production-ready workflows.
• Experience working with large, messy, and incomplete structured and unstructured datasets.
• Excellent communication skills, with experience presenting complex analytical results to non-technical stakeholders and influencing strategy.
• Track record of driving measurable business or client impact through data science/operations research work.
• Experience mentoring or coaching senior data scientists and raising analytical standards within a team.

Culture & Benefits

• Competitive salary with top-tier health benefits and life insurance.
• Long-term group savings with employer match using hirify.global for Business platform.
• 20 vacation days + 4 wellness days per year, and unlimited sick and mental health days.
• 90 days away program allowing employees to work outside of Canada for up to 90 days per calendar year.
• Remote-first team with over 1,500 employees across North America.
• Opportunities to collaborate with talented, curious, and driven teammates.
• Commitment to building a diverse team and providing an accessible candidate experience.
• Company values innovation and encourages leaning into new technologies, including AI.