Deliveroo met les clients en relation avec des restaurants, des commerces et des livreurs pour la livraison de repas et de courses.
Data Science Manager
Deliveroo recrute plusieurs Data Science Managers à Londres pour définir la stratégie analytique et piloter une équipe de data scientists ou d’ingénieurs en machine learning. Le poste combine expérimentation, inférence causale et machine learning appliqué, avec un impact sur les décisions produit, commerciales et opérationnelles.
Repères sur Deliveroo
- Secteur
- Distribution et e-commerce
- Siège
- Paris
- Domaine officiel
- deliveroo.fr
- Création
- 2013 · 13 ans
- Effectif public
- 350 employés
- Offres ouvertes
- 158
Détails de l’offre
La description complète publiée par Deliveroo.
Description de l’offre
Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global 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 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, Ops, Marketing and Finance as a thought partner. You’ll set the bar for analytical rigour, prioritisation and impact across noisy metrics, real trade-offs and strong stakeholder opinions.
What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
- Experience line managing data scientists and supporting their career development
- A strong background as a senior individual contributor, with hands-on experience in experimentation, causal inference or applied machine learning
- Proven ability to identify high-impact opportunities and turn insights into clear strategy and execution
- Confidence working with senior stakeholders and explaining complex technical concepts to non-technical audiences
- Comfort operating in fast-moving, ambiguous environments where prioritisation and judgement matter as much as technical skill Why Join Us? At Deliveroo, you’ll work on real-world problems at global scale, across a three-sided marketplace that is constantly evolving. We’re food lovers, problem solvers, community organisers and more, united by a shared drive to make things better. Working here, you can expect:
- High autonomy to shape strategy and deliver meaningful impact
- Support to learn and grow through L&D programmes, mentoring and peer learning
- A strong focus on wellbeing, with benefits that vary by country
- A place to belong, with a diverse global workforce and active employee communities Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring
- learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .
Prérequis
- expérience en management direct de data scientists
- expérience pratique en expérimentation, inférence causale ou machine learning appliqué
- capacité à travailler avec des parties prenantes senior
- capacité à expliquer des concepts techniques complexes à des publics non techniques
Avantages mentionnés
- programmes de formation et développement
- mentorat
- apprentissage entre pairs
- avantages liés au bien-être
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