About this role
Description
The EU International Technology (EU INTech) charter for Partner Growth and Experiences (PGX) is established to deliver coherent and personalised experiences for Selling Partners (SP) and Amazon teams, enabling them to manage their business growth across Amazon WW stores as a single-store experience, benefiting Amazon customers by accelerating Amazon flywheel. Our mission is to delight Customers and enable long-term success of Selling Partners by building the most trusted shopping experiences and a suite of services, tools and experiences that drive efficiency, growth and transparency for both, our Selling Partners and internal Retail teams, throughout their selling journey and across regions.
PGX is looking for a passionate, talented, and inventive Applied Scientist with machine learning background to help build and/or enhance our partner facing experiences and make it efficient and less human dependent. Our mission is to provide a delightful experience to Amazon’s selling partners by pushing the envelope in Natural Language Processing (NLP) and use human judgement when it is absolutely necessary, through leverage of Machine Learning (ML) and Aritifical Intelligence (AI) across the experiences we own.
Key job responsibilities
As a Applied Scientist with PGX, you will work alongside recognized experts and business stakeholders to develop novel algorithms and modeling techniques to advance the state-of-the-art in AI and human language technology. Your work will directly impact both our end customers and selling partners, in the form of products and services that build or own. You will gain hands on experience with Amazon’s AI and ML solutions and models, structured data sources, and large-scale computing resources to fully automate our selling partner facing experiences and use human judgement when it is absolutely required. We are looking for AS with experience/expertise/exposure in building large-scale high-performing systems.
A day in the life
1. Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience
2. Use a broad range of data structures and algorithms to quantify business impact and develop offline code for new stats or applications
3. Run A/B experiments and evaluate the impact of their optimizations
4. Work closely with other scientists, software development engineers as well as program and product managers to design experiments and implement end-to-end solutions.
5. Communicate their results to various business stakeholders.
6. Set up and monitor alarms to detect anomalous data patterns. Perform root cause analyses to explain and address anomalous data patterns.
About the team
EU INTech PGX's mission is to delight Customers and enable long-term success of Selling Partners by building the most trusted shopping experiences and a suite of services, tools and experiences that drive efficiency, growth and transparency for both, our Selling Partners and internal Retail teams, throughout their selling journey and across regions.Amazon’s Partner Growth Experience team, you will assume advanced ownership of designing, developing, and evolving mission-critical systems that empower Amazon’s Selling Partners at scale.
This Applied Science role builds upon foundational engineering excellence to drive strategic leadership, ensuring solutions align with Amazon’s long-term vision for partner enablement and marketplace growth.
Basic Qualifications
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Preferred Qualifications
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.