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3 дня назад

Data Scientist

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
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 (Analytics/Experimentation): Solving marketplace and logistics problems through quantitative analysis, experiments, dashboards, and actionable recommendations with an accent on supply-demand dynamics, operational efficiency, and cross-functional decision-making. Focus on designing A/B tests, applying causal inference and regression techniques, and translating ambiguous business questions into measurable recommendations.

Location: Sydney, NSW or Melbourne, VIC, Australia

Company

hirify.global operates a global logistics and delivery platform connecting consumers, Dashers, and merchants.

What you will do

  • Partner with product, business, finance, and executive teams to guide strategic decisions.
  • Use quantitative analysis and data presentation to identify business drivers and marketplace trends.
  • Build end-to-end analytics experiments, reports, and dashboards using SQL, Python, R, and statistical tools.
  • Identify and measure operational levers, then turn findings into actionable recommendations.
  • Apply hypothesis testing and experimentation techniques to validate insights.
  • Collaborate with strategy, operations, product, finance, and engineering stakeholders to drive operational change.

Requirements

  • 4+ years of experience in data analytics, consulting, or a related quantitative role.
  • Ability to structure and solve ambiguous problems using hypothesis-driven, data-supported approaches.
  • Experience leading strategic projects involving multiple cross-functional teams.
  • Experience with experimentation techniques, including A/B testing and causal inference.
  • Strong SQL skills, basic ETL knowledge, and experience with regression techniques.
  • Proficiency in Python or R and at least one analytics or data visualization tool.

Culture & Benefits

  • Work on operational and actionable data science problems across a global logistics marketplace.
  • Contribute to initiatives involving Dasher earnings, incentives, routing, supply-demand, ETAs, AI tools, and future delivery technologies.
  • Collaborate across product, operations, finance, strategy, and engineering functions.

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