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At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.
Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers.
Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee.
About the Role
As an Economist in the Data Science organisation at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like:
- Which markets/cities should we enter next?
- How can we incentivise good rider behaviour?
- What is the business impact of exclusive deals we have with restaurants?
- How do we best optimise our compensation policy to keep our customers happy and ordering with Deliveroo?
- How does a new competitor’s entry into one of our markets affect our growth ambitions?
- Can the Delivery food market sustain multiple players?
- What are the trade-offs we face when choosing between growth and profitability? How should we decide between them?
- What is the optimum selection and variety of restaurants?
- What impact do online reviews have?
- How will a change in the user interface affect customer choice behavior?
- The work you will do will have a direct, measurable impact on the bottom line of the company.
Qualifications:
- Always curious and willing to learn new skills
- A problem solver with a deep analytical mindset
- Ability to think creatively and insightfully about business-relevant economic problems
- A critical thinker with very strong attention to detail
- Masters degree or PhD in Economics or Econometrics (or equivalent business experience)
- Ideally industry experience since the completion of your academic career
- Proficiency with analytical tools like R/Python and familiarity with SQL
- Ability to understand and design markets and incentives taking into account the information environment and strategic interactions
- Excellent people skills — you’ll be meeting with stakeholders to translate business needs into economic problems.
- Curriculum vitae
- Job market paper (optional)
- Additional paper (optional)
- Additional paper (optional)
- Other material (in one file) (optional)
- Cover letter
- Video presentation of job market paper (optional)
- Letters of reference: 1