About the company
Deliveroo is transforming the way people shop and eat. Our Data Science organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace.
Responsibilities
- Driving Strategy/insights through Experimentation: Leading the design of both simple and complex experiments and proactively translating findings into strategic direction.
- Master Causal Inference: Apply advanced techniques to estimate long-term and heterogeneous treatment effects.
- Drawing reliable conclusions in settings with selection bias or imperfect randomisation.
- Drive Deep Product Insights: Uncover the fundamental drivers of experiment performance, determining why features succeed and how results generalise across different users, markets, and timeframes.
- Using insights from past experiments to improve future decision-making.
Requirements
- Strong experience designing, running and interpreting A/B experiments in production environments.
- Solid understanding of causal inference concepts.
- Ability to apply statistical thinking to messy, real-world product problems, not just ideal experimental setups.
- Great communication skills in person, in writing and in code, with both technical and non-technical audiences.
- A problem solver with a deep analytical mindset.
- Ability to think creatively and insightfully about business problems.
- Familiarity with SQL.
- Excellent people skills as you will be meeting with stakeholders to translate business needs into data science problems.
Conditions
- Competitive salary and equity options.
- Flexible working and continuous learning.
- Part of DoorDash global structure.