Senior Data Science Manager

We're looking for a Senior Data Science Manager to shape data science strategy across a broad area of our Logistics organisation. You'll combine strong people leadership, technical judgement and commercial thinking to help our teams make better decisions and deliver measurable business impact.

About The Logistics Team

Logistics makes our marketplace work in the real world: connecting riders with orders and helping deliveries happen efficiently and reliably. The organisation works on problems such as predicting demand, improving delivery-time estimates, and matching orders with riders, all in an efficient way to ensure we can offer the most affordable pricing to our customers.

What You'll Be Doing

• Set strategy and priorities with Product, Engineering and Operations leaders, focusing investment on the highest-impact opportunities across immediate needs and longer-term goals.
• Build and develop a high-performing, inclusive team through hiring, coaching and performance management, growing leaders who can deliver independently.
• Guide solutions to complex marketplace challenges, from balancing supply and demand to evaluating incentives and improving delivery performance and economics.
• Set the technical bar for experimentation, causal inference and analysis, staying close enough to challenge approaches and ensure decisions reflect real marketplace effects.
• Influence senior stakeholders and align teams around shared outcomes, resolving competing priorities and turning evidence into product and operational decisions.
• Directly lead projects that resolve highly complex challenges, which often span across multiple parts of the business and unlock new vectors of impact, boosting company-level goals.

What You'll Need to Thrive

• A track record of leading and developing high-performing data science or closely related analytical teams, with responsibility for complex work spanning multiple teams or business areas.
• Experience setting analytical strategy and allocating people and effort across competing priorities, with clear evidence of product, operational or commercial impact.
• Strong technical foundations in experimentation, causal inference and statistical analysis, with the judgement to select appropriate methods, challenge conclusions and coach experienced practitioners.
• The ability to reason about interconnected systems and trade-offs, including how an intervention in one part of a marketplace can affect outcomes elsewhere.
• Experience influencing senior cross-functional leaders, aligning teams around shared goals and turning complex evidence into clear, actionable recommendations.
• A thoughtful approach to building teams: hiring, coaching, managing performance and developing future technical and people leaders.
• Comfort creating structure in ambiguous environments, making pragmatic decisions with incomplete information and adapting as new evidence emerges.