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обновлено 1 месяц назад

Data Scientist (Fintech)

172 000 - 258 000CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2

Описание вакансии

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TL;DR

Data Scientist (Fintech): Building and optimizing machine learning and statistical models, running experiments, and delivering data-driven insights to support strategic business decisions. Focus on causal inference, optimization, experimentation, and cross-functional collaboration to drive impact across product, finance, payments, security, risk, and growth teams.

Location: Toronto, Canada

Salary: CA$172,000–CA$258,000 per year

Company

hirify.global is a financial infrastructure platform enabling businesses worldwide to accept payments and grow revenue.

What you will do

  • Partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams to optimize systems and inform strategic decisions.
  • Build and deploy machine learning, statistical, and causal inference models.
  • Design, run, and analyze complex experiments to drive business impact.
  • Leverage data analytics and experimentation to improve product and business outcomes.
  • Communicate results clearly and synthesize complex analyses into actionable recommendations.

Requirements

  • Location: Must be based in Toronto, Canada
  • PhD + 3 years, MS/MA + 6 years, or BS/BA + 8 years of data science or quantitative modeling experience.
  • Proficiency in SQL and a computing language such as Python or R.
  • Strong knowledge in machine learning, statistics, optimization, product analytics, causal inference, and experimentation.
  • Experience working with cross-functional teams and managing multiple projects with attention to detail.
  • Ability to communicate results clearly and focus on driving impact.

Nice to have

  • Experience deploying models in production and adjusting thresholds for performance.
  • Experience with distributed tools like Spark and Hadoop.
  • Advanced degrees in quantitative fields such as Statistics, Engineering, Mathematics, Economics, or Operations Research.