3 дня назад
Data Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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