- Company Name
- Deliveroo
- Job Title
- Senior Data Scientist
- Job Description
-
Job Title: Senior Data Scientist
**Role Summary**
Lead data science initiatives that directly influence key business decisions across product, operations, and growth functions. Drive end‑to‑end analytical projects—from hypothesis generation and experimental design to model deployment and impact measurement—to optimize market entry, pricing, partner mix, and user experience.
**Expectations**
- Deliver quantifiable business impact on revenue, customer retention, and operational efficiency.
- Translate complex business questions into data‑science solutions with clear, actionable recommendations.
- Communicate findings effectively to technical and non‑technical stakeholders, facilitating data‑driven decision‑making.
- Mentor or collaborate with junior scientists, contributing to the organization’s analytical culture.
**Key Responsibilities**
- Own the analytical pipeline for key metrics, including data collection, cleaning, modeling, and reporting.
- Design and execute rigorously controlled experiments (A/B, multivariate, rollout tests) and causal inference studies.
- Provide strategic insights on market expansion, pricing models, incentive programs, and partner portfolio optimization.
- Translate stakeholder needs into analytical frameworks, working closely with product, business, and technology teams.
- Champion best practices in data science, including reproducibility, documentation, and model governance.
**Required Skills**
- 6+ years of data science or equivalent analytical experience.
- Advanced proficiency in Python or R, SQL, and statistical/machine‑learning libraries.
- Strong background in experimentation, causal inference, and predictive modeling.
- Excellent written and verbal communication; ability to present complex concepts to diverse audiences.
- Analytical rigor, creative problem‑solving, and meticulous attention to detail.
- Proven ability to collaborate across functions and influence strategic direction.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Relevant certifications (e.g., machine‑learning, analytics, or data‑engineering) are advantageous.