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 Alexa for Shopping, our AI‑driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation‑based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.
A Day In The Life
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. Build predictive models and conduct deep‑dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with scientists, engineers, and product partners to translate analytical insights into production systems.
About The Team
The Alexa for Shopping Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI‑driven shopping experiences at Amazon. The team works on every aspect of the AfS AI, from making it agentic, enabling customers to set price alerts or empowering AfS to 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.
Basic Qualifications
- Master’s degree or above in Math, Statistics, Computer Science, or related science field
- Experience in a ML or data scientist role with a large technology company
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience effectively communicating complex concepts through written and verbal communication
Preferred Qualifications
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
- Experience working on multi‑team, cross‑disciplinary projects
Equal Opportunity Employer – Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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