обновлено 3 дня назад
Senior Data Scientist (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Generative AI): Turning marketplace data into actionable insights and strategic recommendations for DoorDash’s ANZ markets with an accent on quantitative analysis, experimentation, and Generative AI tools. Focus on building full-cycle analytics experiments, dashboards, and reports, solving ambiguous business problems, and measuring growth and operational levers across consumers, merchants, and Dashers.
Location: Sydney, NSW or Melbourne, VIC; hybrid schedule with 3 days in the office and 2 days remote
Company
operates a three-sided marketplace connecting consumers, merchants, and Dashers.
What you will do
- Partner with Strategy & Operations and ANZ executive teams to support business decisions.
- Analyze marketplace dynamics, user behaviours, KPI trends, and long-term business performance.
- Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, and statistical tools.
- Identify and measure business levers, size problems, and develop data-driven recommendations.
- Apply Generative AI models and tools to analytics work.
- Use hypothesis testing, A/B testing, causal inference, and other experimentation techniques to validate findings.
Requirements
- 6+ years of experience in data analytics, consulting, or related quantitative roles.
- Degree in Mathematics, Physics, Statistics, Economics, Computer Science, or a similar field.
- Strong SQL experience, basic ETL knowledge, and experience with regression techniques.
- Proficiency in at least one programming language, preferably Python or R.
- Experience with experimentation techniques and interpreting hypothesis tests.
- Ability to solve ambiguous problems using structured, hypothesis-driven, data-supported approaches and collaborate across strategy, operations, product, finance, and engineering.
Culture & Benefits
- Work closely with cross-functional teams and regional executive leadership.
- Apply best practices from the US business to local ANZ market dynamics.
- Access generous token allocations for Generative AI models and tools.
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