Data Scientist, EU AVS/VX BIE team

Job title:

Data Scientist, EU AVS/VX BIE team

Company

Amazon

Job description

DESCRIPTIONThe 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. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce website. 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. Both AVS and VX are core inputs to improving the end Customer Experience and Amazon’s Long-Term Free Cash Flow.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 world-wide 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 biggest impact on the 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 we can 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 are proud of the constant energy to take on more responsibility and to build from within all levels of the organisation while keeping people as our top priority. 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Expected salary

Location

London

Job date

Sat, 15 Feb 2025 05:30:17 GMT

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