The position can be based in Amsterdam or London.

Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer-centric solutions drive measurable results? Do you enjoy working closely with the business, scientists and software engineers to build scalable products? You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team, where your actions will have direct impact to millions of customers!

The EU Marketing & Prime organization is looking for a Data Scientist / Business Intelligence Engineer. The position can be based in London or Amsterdam.
The PRIMAS team provides a comprehensive understanding of customer segments, affinities and lifetime value. We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where, when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement, sales and marketing efficiency. Our systems are built entirely in-house and on the cutting-edge in automated large-scale analytics systems. You will generate insights, design/deliver/measure experiments and strategies across marketing channels (SEM/SEO, Affiliates, Display, Social, Mobile, Email, Onsite, etc.), engagement products and customer segments. You will improve our understanding of Customer behavior and engagement, design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that will inform long term strategy. You will have the opportunity to work on the forefront of consumer analytics tackling some of the most difficult problems in the industry with some of the best scientists, statisticians and software engineers in the field.

Key job responsibilities
In this role you will be:
• Working on complex loosely defined analytics problems and defining the team's. Delivering independently, and influencing the organization's BI and data science architecture
• Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable.
• Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical trade-offs for long term/short-term needs.
• Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions
• Providing analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities
• Driving best practices in operational excellence, data modelling, and analysis