Amazon
Sr. Data Scientist, EU 3P AB, Amazon Business EU Marketplace
AmazonLuxembourg1 day ago
Full-timeEngineering, Information Technology
Description

We are looking for a Data Scientist with a strong analytical skills who will build ML/GenAI tools and a suite of internal and external (seller) facing tools to meet the needs of fast growing Amazon Business customers.

In this role, you will lead Data Science solutions from beginning to end. You will deliver with independence on challenging large-scale problems with complexity and ambiguity. You will build Machine Learning and statistical models to solve specific business problems. You will play a key role in shaping the ML/AI roadmap of our team and actively influence the world-wide roadmaps working together with a team of product managers, engineers, and scientists globally.

Key job responsibilities

Own End-to-end Science Solutions

  • Translate highly ambiguous, complex business problems into clear scientific hypotheses and success metrics.
  • Drive projects from concept and data discovery through model development, experimentation, deployment, and post-launch monitoring.

Build advanced ML / AI / GenAI models

  • Use statistical and machine learning techniques to create the next generation of the tools to support the growth of Amazon's third party sellers and improve productivity of internal Amazonians.
  • Apply causal inference, uplift modeling, and experimentation frameworks to quantify the impact of new policies, tools, and AB programs.
  • Leverage Generative AI and LLMs for use cases such as intelligent seller insights, automated reasoning over large datasets, and AI-assisted decision support for internal stakeholders.

Shape the AI & Analytics roadmap for Amazon Business in EU

  • Define and drive the Analytics, Data Science, and AI strategy for AB EU 3P.
  • Dive deep to help drive key business decisions through data insights and improve a wide range of internal products

Partner closely with engineering and data teams

  • Work closely with teams of scientists, BIEs, Product Managers and world-wide tech teams to drive real-time model implementations and deliver novel and highly impactful features.
  • Build production ready solutions or show the willingness to learn how to implement and deploy large scale production ready models

Influence through narrative and storytelling

  • Create clear, concise documents and visualizations that “tell the story” of your findings to senior leaders and non-technical stakeholders.
  • Recommend actions and trade-offs, and influence roadmap and investment decisions using data.
  • Provide strategic technical guidance to L7+ business partners.
  • Build reusable experimentation and measurement frameworks for the wider FBA organization.

Raise the bar for science excellence

  • Mentor other scientists, BIEs, and analysts on methodology, code practices, and stakeholder engagement.
  • Create and deliver best practice recommendations, blog posts, and presentations adapted to technical, business, and executive stakeholders.
  • Promote best practices in reproducible research, model governance, and documentation.

A day in the life

A day in the life

  • Deep dive into our business metrics, analyze data, trends, and reviewing dashboards
  • Writing code: building packages in Python, writing SQL queries, deploying solutions for business teams to consume.
  • Leading or joining working sessions with Product Managers to refine problem statements new initiatives.
  • Exploring new features and model architectures, leveraging AWS services, documentation, and upskilling yourself to the latest technologies.
  • Leverage pre-trained LLMs to build applications that solve business problems for third party sellers.
  • Meet with Engineers/Data Engineers to align on solution designs.
  • Own or co-own MBR documents that are reviewed with WW Amazon Business 3P leadership (at least 2 L8s)

About The Team

Amazon Business Marketplace is a highly strategic and a fast growing business for Amazon. In this team, you will own initiatives end to end that are in early stages which will give you an opportunity to shape the direction of these programs globally. You will also have a high visibility to WW leadership/stakeholders due to the organizational structure of Amazon Business, which is a great opportunity for people who are willing to embrace a fast-paced environment, deal with ambiguity, and make an impact globally.

Basic Qualifications

  • Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD
  • Experience working in predictive modeling and analysis
  • Experience in driving end to end delivery, and communicating results to senior leadership
  • Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels
  • 7+ years of industry experience in business intelligence, data science, machine learning, or applied statistics solving real-world business problems.
  • Strong programming skills in Python (or R) and proficiency in SQL, including working with large-scale datasets.
  • 5+ years of experience with big data and cloud technologies (e.g., AWS services such as S3, Redshift, SageMaker, Bedrock, EC2, EMR, Glue, or similar).

Preferred Qualifications

  • 10+ years of industry experience in data science, machine learning, or applied statistics solving real-world business problems.
  • Demonstrated experience with Generative AI and LLMs, including: Building or integrating GenAI applications (e.g., text generation, summarization, retrieval-augmented generation, classification, or agents), Designing evaluation strategies and guardrails for AI systems in production.
  • Experience building and operating ML models in production (e.g., APIs or services, CI/CD for ML, monitoring and retraining strategies).

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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.


Company - Amazon EU Sarl

Job ID: A3192750

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