Principal Data Scientist, FBA EU

Fulfillment by Amazon (FBA) is at the core of Amazon’s “Supply Chain by Amazon” vision, enabling hundreds of thousands of Selling Partners to leverage our world-class fulfillment network. FBA helps sellers in 130+ countries send products into our EU network and deliver to customers in 185+ countries, contributing to billions of units shipped in Europe each year.

The FBA EU Analytics team is looking for a Principal Data Scientist to own high-impact BI, science and AI initiatives that shape the future of FBA in Europe. You will develop scalable AI solutions — including machine learning models, causal inference frameworks, and optimization algorithms — and deploy them to production to improve seller experience, ensure compliance, and optimize our end-to-end fulfillment economics (cost, speed, and quality).

You will partner with Product, Tech, Operations, Finance, and Legal/Compliance across EU and WW to turn ambiguous business problems into well-framed scientific questions and productionized solutions. This is a high-visibility role with direct exposure to senior leadership and the opportunity to work with some of the world’s richest supply chain and marketplace datasets.


Key job responsibilities
- Own end-to-end science solutions. Translate highly ambiguous, complex business problems into clear scientific hypotheses and success metrics and drive projects from concept and data discovery through model development, experimentation, deployment, and post-launch monitoring.
- Build advanced ML / AI / GenAI models. Develop predictive and prescriptive models, apply causal inference, uplift modeling, and experimentation frameworks and leverage Generative AI and LLMs for use cases
- Define and drive the Analytics, Data Science, and AI strategy for EU FBA. Prioritize opportunities based on impact, feasibility, and alignment with FBA and Supply Chain by Amazon strategy.
- Partner closely with engineering and data teams. Collaborate with Scientists, Data Engineers, BIEs, and SDEs to design data models, feature pipelines, and scalable science services (batch and real-time).
- Drive experimentation and decision science at scale. Design and analyze A/B tests and quasi-experiments to evaluate new policies, product features, and operational changes across EU marketplaces.
- 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.
- 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. Promote best practices in reproducible research, model governance, and documentation.

A day in the life
- Start your day reviewing dashboards for a recently launched GenAI-powered insights tool for Sellers, checking performance, drift, and business KPIs.
- Join a working session with Product and Operations to refine problem statements for a new initiative to optimize cross-border inbound flows and FBA fees using a mix of forecasting, optimization, and causal inference.
- Spend focused time in code exploring new features and model architectures, leveraging AWS services to accelerate EDA, documentation, and hypothesis generation.
- Meet with a Data Engineer to iterate on a new data pipeline that will serve both your models and EU leadership reporting.
- Draft the architecture of a new ML model that optimizes the fee rate card for EU FBA Sellers across hundreds of product categories and marketplaces


About the team
The FBA EU Analytics team sits at the intersection of science, analytics, and product for the FBA business in Europe. We:
- Own core metrics and analytical foundations used by EU and WW leadership to steer the FBA business.
- Develop scalable ML, GenAI, and BI solutions that simplify cross-border listing, inbound processes, compliance, and the fulfillment experience for Selling Partners and customers.
- Work across EU and global stakeholders in Product, Tech, Operations, Finance, and Legal/Compliance, providing a holistic view of the FBA business.

You will join a diverse group of Data Scientists, Business Intelligence Engineers, and Data Engineers who are passionate about combining rigorous science with pragmatic delivery and measurable business impact.
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions
- • Hands-on experience designing, building, and deploying models in one or more of the following areas:
- o Predictive modeling (classification/regression, time series forecasting).
- o Causal inference / experimentation / uplift modeling.
- o Optimization / operations research.
- o Anomaly detection, risk or fraud modeling.
- • 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).
- • Demonstrated ability to translate ambiguous business needs into analytical solutions and to drive projects end-to-end with minimal guidance.
- • Excellent written and verbal communication skills in English, with a track record of influencing senior stakeholders using data.- Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience in data science, machine learning or data mining
- Experience in e-commerce, supply chain, logistics, or marketplace platforms, especially in pricing, cost-to-serve, network optimization, or compliance-related topics.
- 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.