Data Scientist II, Alexa for Shopping Science UK, Alexa for Shopping Science UK

Overview

In this role you’ll advance AI-driven shopping experiences by designing and evaluating multimodal conversational systems. You’ll work with large-scale data, NLP/ML models, and experiments to shape product decisions and customer impact. You’ll collaborate across scientists, engineers, and product partners to deployment-ready solutions that improvise shopping journeys. This position sits at the intersection of research and production, enabling personalized and actionable recommendations at scale.

Responsibilities

• Analyze and model multimodal data to improve shopping assistant systems
• Design, run, and interpret A/B tests and experiments with statistical rigor
• Develop metrics, dashboards, and reporting to monitor performance and business impact
• Build predictive models and perform deep-dive analyses to boost conversion and satisfaction
• Collaborate with Applied Scientists and Engineers to translate insights into production features
• Establish automated data analysis pipelines, ETL, metric generation, and experimentation frameworks
• Communicate findings to both technical and non-technical audiences

Key requirements

• Master’s degree or above in Math, Statistics, Computer Science, or related field
• Experience in ML/data scientist roles at a large tech company
• Experience with ML/statistical modeling and data analysis techniques
• Proficiency with data scripting languages (SQL, Python, R) or statistical software
• Experience communicating complex concepts effectively

• strong written and verbal communication
• collaboration across cross-functional teams
• ability to translate data into actionable decisions
• machine learning and statistical modeling
• NLP, information retrieval, recommender systems, knowledge graphs
• A/B testing and experimental design

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