# Data Science Manager

**Company**: Deliveroo
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/deliveroo/jobs/8202485?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a01a5e3d-2ae

## Description

We are seeking a Data Science Manager to join our team at Deliveroo, which is now part of DoorDash. As a Data Science Manager, you will 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.

You will work across a range of consumer, product, and commercial areas, focusing on areas such as customer retention and loyalty, pricing and promotions, discovery and personalisation, or customer acquisition and engagement.

Your responsibilities will include:

- Leading and developing a team of data scientists or machine learning engineers

- Setting the analytical direction for your area and deciding which problems are worth solving

- Ensuring data science work translates into better product and commercial decisions

- Partnering with Product, Engineering, Ops, Marketing, and Finance as a thought partner

- Setting the bar for analytical rigour, prioritisation, and impact

To thrive in this role, you will need:

- 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

At Deliveroo, 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

## Skills

### Required
- experimentation
- causal inference
- applied machine learning
- leadership
- communication

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/deliveroo/jobs/8202485?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)