Data Science Manager - Merchants Team
Deliveroo · London - The River Building HQ
About this role
DATA SCIENCE MANAGER - MERCHANTS TEAM Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning. We’re hiring a Data Science Manager to join our Merchants team. Merchants are central to Deliveroo’s marketplace: they drive selection, order volume and a significant proportion of the value created across the business. You’ll lead a team focused on helping Deliveroo acquire, onboard, support and retain the right merchant partners. You’ll work across a broad set of merchant problems, from identifying the restaurants, grocers and retailers we should partner with, to improving order management, reducing merchant defects and helping partners manage their business more effectively through self-serve tools and communications. This role is based in London and sits within the wider Merchants Data Science team. You’ll report to a Senior Data Science Manager and partner closely with Product, Engineering, Strategy, Operations and Commercial teams. WHAT YOU’LL BE DOING You’ll own the analytical direction and measurable impact of a defined area within Merchants, while leading and developing a team of approximately four to seven data scientists. The team already has several data scientists in place and is continuing to grow. You’ll help shape that growth, build a high-performing team and bring structure to a fast-moving and ambiguous environment. Depending on the final scope, your team may work across areas such as: - merchant acquisition and onboarding, including identifying the most valuable restaurants, grocers and retailers to partner with; - improving models used to understand restaurant, grocery and retail supply; - merchant order management and reducing defects such as missing items, inaccurate orders, menu
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