Data Science Manager
Deliveroo · London - The River Building HQ
About this role
DATA SCIENCE MANAGER 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 and causal inference. We’re hiring multiple Data Science Managers across different areas of the business. All of these roles are at the same level. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope and team at the end of the process, based on your background, interview performance, preferences and current business needs. We’re also advertising some opportunities separately where particular domain experience is especially relevant. You only need to submit one application, as we’ll consider your profile across all suitable Data Science Manager vacancies. Before an offer is made, you’ll have the opportunity to meet the proposed team, either virtually or at our London headquarters, and learn more about the role’s scope and priorities. WHAT YOU’LL BE DOING You’ll own the analytical direction and measurable impact of a product or business area, while leading and developing a high-performing team of data scientists or machine learning engineers. Our Data Science Managers work across a range of consumer, product and commercial areas. Depending on the team you join, your work could focus on areas such as customer retention and loyalty, pricing and promotions, discovery and personalisation, or customer acquisition and engagement. Across all roles, you’ll lead and develop your team, set the analytical direction for your area and decide which problems are worth solving. You’ll ensure data science work translates into better product and commercial decisions, not just analysis. You’ll remain hands-on while managing a team, partnering with Product, Engineering, Op
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