Data Scientist, EU AVS/VX BIE team

DESCRIPTION

The EU Amazon Vendor Services (AVS) and WW Vendor Experience (VX) Program teams are looking for a Data Scientist to help solve cutting edge of applied AI and ML solutions that will power our Voice of Vendor (VoV) program and address major challenges that will contribute to our vendors' success and increased satisfaction.

Amazon strives to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online. Core to Amazon's mission to delight and serve customers is a need to invent on behalf of vendors. The EU AVS program aims to provide an industry-leading account management service at the optimal cost-to-serve for Amazon that exceeds vendors' expectations and expedites their growth on Amazon. The WW VX program vision is to make Amazon the most preferred, trusted, and efficient distribution option for vendors by building an industry-leading experience for every vendor across all global touchpoints.

The AVS and VX program teams are diverse organizations with employees across Europe and with partner teams around the globe. This role can be based in London, Paris, Madrid, or Luxembourg. These teams drive improvements in products, services, tools, processes, communication, and vendor education worldwide, working with partner teams in Europe, North America, Japan, and emerging locales, and are responsible for all elements of a vendor's interaction with Amazon including listing, catalog management, ordering, supply chain, marketing, payments, value-added services, and vendor support.

Key job responsibilities
This role will sit in a data and analytics (DNA) team that supports two large program teams (EU AVS and VX), directly working with 15+ product managers. As a key member of the DNA team, you will play a crucial role in leveraging advanced analytics, machine learning, and AI to solve complex business problems and enhance vendor experiences. Specifically, you will lead the development of machine learning and AI solutions that will empower our global Voice of Vendor program to identify business areas (Listing, Ordering, Payments) that have the biggest impact on overall vendor satisfaction. You will provide meaningful vendor sentiment & anecdotes summaries to all partner teams using LLMs. You will develop models to identify the drivers of poor vendor feedback and take corrective and proactive actions to avoid this in the future. Every solution you will build will need to be production-ready. Working closely with both PMs and PM-Ts, you will be involved in the end-to-end product feature development process from conception to productionisation.

About the team
We are a diverse team representing more than 10 nationalities and sitting across 6 European countries. We are a team of talented, driven individuals who maintain a focus on career and business development while being unerringly pleasant to work with. We focus on people and team, knowing this focus is central to our long-term success. The organisation comprises product managers, technical product managers, BIEs, data engineers, data scientists, and vendor-facing teams.

BASIC QUALIFICATIONS

- At least a Masters degree in computer science, physics, statistics, mathematics, or a similar quantitative discipline.
- 5+ years of experience in using multiple data science methodologies to solve complex business problems.
- Experience as a data scientist, applied scientist, research scientist, or equivalent role.
- Experience with theory and practice of data science, machine learning, and artificial intelligence.
- Experience with data scripting languages (e.g. SQL, Python, R, etc.) and statistical/mathematical software (e.g. R, SAS, or Matlab).
- Expertise in SQL, data modeling, warehousing, and building ETL pipelines.
- Experience with AWS technologies (e.g. Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions).
- Knowledge of software engineering best practices and version control systems.
- Excellent ability to communicate with technical and nontechnical stakeholders alike in written documents and verbal communication to collect data requirements.

PREFERRED QUALIFICATIONS

- Hands-on experience in Natural Language Processing (NLP) and leveraging Large Language Models (LLMs) for real-world NLP applications.
- Experience in working on the entire lifecycle of a data product, from conceptualization to productionisation.
- E-commerce experience.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.