- Company Name
- Deliveroo
- Job Title
- Senior Data Science Manager
- Job Description
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Job title: Senior Data Science Manager
Role Summary
Lead a dedicated data science team in a fast‑paced, high‑impact environment, driving both strategic direction and hands‑on execution of analytics, experimentation, causal inference, and production ML models across product, business and platform functions.
Expectations
- Proven line‑management of data scientists and junior managers, with a track record of career development.
- Senior‑level individual contributor experience in experimentation, causal analysis and data visualisation.
- Demonstrated ability to translate data insights into clear, impactful roadmaps and strategies.
- Comfortable engaging with C‑suite stakeholders and conveying technical concepts to non‑technical audiences.
- Experience building cohesive, high‑performing teams from diverse skill sets.
- Ability to oversee multiple business‑area teams, prioritising work ruthlessly.
- Pragmatic, flexible mindset focused on measurable impact.
Key Responsibilities
- Set and execute the data science agenda, ensuring alignment with company strategy.
- Mentor and coach team leads and data scientists, fostering professional growth and collaboration.
- Own end‑to‑end projects: hypothesis design, experimental setup, causal modelling, result synthesis, and product integration.
- Develop and maintain production ML pipelines and optimisation models that influence key business metrics.
- Partner with product, engineering, and analytics teams to embed data literacy company‑wide.
- Manage resource allocation, budgets, and timelines across multiple, cross‑functional teams.
- Establish and uphold high standards for data quality, reproducibility, and ethical AI practices.
Required Skills
- Leadership – line‑management, mentorship, strategic planning.
- Analytical expertise – experimentation, statistical modelling, causal inference.
- Technical – machine learning, optimisation, data engineering fundamentals.
- Data storytelling – data visualisation, narrative development, persuasive communication.
- Stakeholder management – influence at executive level, collaborative decision making.
- Prioritisation – risk assessment, impact evaluation, agile execution.
Required Education & Certifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or related quantitative field.
- Minimum 8–10 years’ experience in data science roles, with at least 3–5 years in managerial capacity.
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