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Deliveroo, which is now part of DoorDash, is seeking a Senior Product Data Scientist to operate out of its London office on a hybrid schedule requiring…
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About This Role
Deliveroo, which is now part of DoorDash, is seeking a Senior Product Data Scientist to operate out of its London office on a hybrid schedule requiring three days on-site per week. The Analytics organisation sits at the core of the business to support decision-making across product, commercial, and operational areas through causal inference and experimentation. Because multiple openings exist across different business areas, the hiring process will evaluate individual strengths…
Job Description
Deliveroo, which is now part of DoorDash, is seeking a Senior Product Data Scientist to operate out of its London office on a hybrid schedule requiring three days on-site per week. The Analytics organisation sits at the core of the business to support decision-making across product, commercial, and operational areas through causal inference and experimentation. Because multiple openings exist across different business areas, the hiring process will evaluate individual strengths and interests to determine the appropriate team placement.
This position suits professionals who enjoy tackling complex, ambiguous challenges within a three-sided marketplace. Responsibilities involve guiding human-led decision-making, designing simple and intricate experiments, analyzing strategic questions around rider behavior, pricing, market entry, and restaurant selection, and translating business requirements into data science solutions. The analytics community features mentorship programs, study groups, guest lectures, and structured technical reviews, with career progression paths available for both individual technical tracks and people management.
Responsibilities
- Design and execute simple to complex experiments to steer strategic decision-making
- Analyze marketplace questions regarding market entry, rider incentives, pricing variations, and restaurant variety
- Translate business needs into data science problems through collaboration with technical and non-technical stakeholders
- Provide clear, actionable analytical recommendations that influence team roadmaps
Requirements
- Significant professional background in data science or a related domain
- Proficiency in analytical tools such as Python or R, along with familiarity in SQL
- Strong communication skills across written, verbal, and code formats for diverse audiences
- Demonstrated problem-solving abilities to handle complex and ambiguous challenges
Qualifications
- Proficiency with Cursor and AI tools to deliver efficient and impactful work
- Formal or informal training in data science
Core Skills
Benefits
- Competitive salary
- Equity options
Frequently Asked Questions
Where is this job located?
This role is based in London, operating on a hybrid schedule with three days required in the office.
What is the employment type?
The posting specifies a full-time employment type.
What salary and benefits are offered?
The specific salary amount is not stated in the job posting, but the position includes competitive salary and equity options.
How many interview stages are there?
The hiring process typically consists of 3 to 4 interview stages designed to evaluate skills and determine the right team alignment.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.