Overview
We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‑leading language technology powering Rufus, our AI‑driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.
Key Responsibilities
* Analyze, model, and optimize AI technologies that will shape the future of shopping experiences.
* Measure and improve multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs tailored to customer needs.
* Handle Amazon‑scale use cases with significant impact on our customers' experiences.
* Collaborate with scientists, engineers, and product partners locally and abroad.
* Design experiments, analyze results, and launch new features, products and systems.
* Perform hands‑on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys.
* Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on structured and unstructured contextual signals.
* Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights.
* Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact.
* Build predictive models and conduct deep‑dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction.
* Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment.
* Establish automated processes for large‑scale data analysis, ETL pipelines, metric generation, and experimentation frameworks.
* Communicate results and insights to both technical and non‑technical audiences, including through presentations, written reports, and data visualizations.
About The Team
The Rufus Features Science team, based in London, works alongside approximately 150 engineers, designers and product managers, shaping the future of AI‑driven shopping experiences at Amazon. The team handles every aspect of Rufus AI, from enabling customers to set price alerts or letting Rufus act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance.
Basic Qualifications
* Experience with machine learning/statistical modeling and data analysis tools and techniques, and parameters that affect their performance.
* Experience in a ML or data scientist role with a large technology company.
* Experience with data scripting languages such as SQL, Python, R, or statistical/mathematical software.
* Experience effectively communicating complex concepts through written and verbal communication.
* Master’s degree or above in Math, Statistics, Computer Science, or related science field.
Preferred Qualifications
* Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2.
* Experience in defining and creating benchmarks for assessing GenAI model performance.
* Experience working on multi‑team, cross‑disciplinary projects.
Equal Opportunity Statement
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We are committed to diversity and inclusion. For accommodations during the application and hiring process, please refer to Amazon’s accommodations policy. For more information on privacy, consult the Amazon privacy notice.
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