At a Glance
- Tasks: Analyse data and build models to enhance customer shopping experiences.
- Company: Join Amazon, a global leader in e-commerce and technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate with a diverse team of 150+ professionals in a dynamic environment.
- Why this job: Shape the future of AI-driven shopping with innovative technologies.
- Qualifications: Experience in data analysis, modelling, and A/B testing.
The predicted salary is between 60000 - 80000 £ per year.
Why Here? Amazon is a global leader in e-commerce and technology. The Alexa for Shopping Science team in London works alongside nearly 150 engineers, designers, and product managers. The team shapes the future of AI‑driven shopping experiences by advancing techniques in Natural Language Processing, generative AI, information retrieval, machine and deep learning, and data mining. The team validates its work through participation in scientific communities.
What Will You Do? As a Data Scientist II at Amazon, you will perform hands‑on analysis and modeling of multimodal datasets to develop insights into how best to help customers throughout their shopping journeys. You will design and analyze A/B tests and experiments to evaluate new features and model improvements. Additionally, you will build predictive models and conduct deep‑dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction.
London, United Kingdom On-site Amazon Data Scientist II, Alexa for Shopping Science UK employer: Experimentation Jobs
Amazon is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. Employees benefit from a collaborative culture that encourages professional growth through access to cutting-edge technology and participation in scientific communities. With a focus on advancing AI-driven shopping experiences, Amazon provides unique opportunities for meaningful contributions that directly impact customer satisfaction and experience.
