Назад
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10 дней назад

Data Scientist, International (Advanced Analytics)

114 000 - 142 500CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist, International (Advanced Analytics): Solving marketplace and operational business problems through quantitative analysis, experimentation, and statistical modeling with an accent on SQL, Python or R, causal inference, and cross-functional decision-making. Focus on building full-cycle analytics experiments and dashboards, identifying growth and efficiency levers, and translating complex marketplace dynamics into actionable recommendations.

Location: Toronto, ON, Canada

Base salary: CAD 114,000–142,500, CAD 142,000–177,500, or CAD 176,000–220,000 annually, depending on the geographical market, skills, experience, and work location.

Company

hirify.global operates a global logistics and marketplace platform connecting customers, merchants, and delivery partners.

What you will do

  • Partner with product, business, finance, operations, strategy, engineering, and executive stakeholders to guide decisions.
  • Use quantitative analysis to identify business drivers, marketplace dynamics, user behavior patterns, and long-term trends.
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, and statistical tools.
  • Apply hypothesis testing, A/B testing, causal inference, and other experimentation techniques to validate findings.
  • Identify and measure levers that improve revenue, growth, operations, and marketplace efficiency.
  • Travel to meet business partners and teams in different markets.

Requirements

  • 3+ years of experience in data analytics, consulting, or a related role.
  • Ability to solve ambiguous problems using structured, hypothesis-driven, data-supported approaches.
  • Experience initiating and leading strategic projects with cross-functional teams.
  • Experience with experimentation techniques, including A/B testing and causal inference.
  • Proficiency in at least one programming language, such as Python or R, and expertise with SQL and ETL processes.
  • Experience with analytics and visualization tools and with building and training statistical or machine learning models.

Culture & Benefits

  • Full-time employment with paid time off, paid parental leave, wellness benefits, and paid holidays.
  • Medical, dental, and vision coverage, disability insurance, and basic life insurance.
  • RRSP with employer matching and a mental health program.
  • Additional compensation opportunities through equity grants.

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