Data Scientist

Job description

DESCRIPTION

Amazon's Customer Service (CS) department is seeking an experienced Data Scientist to join the team. Customer service is the heart of Amazon, our vision is to be "Earth's most customer centric company; to build a place where people can come to find and discover anything they might want to buy online."
The successful candidate will be a key member of the EU Customer Service Data and Insights team. The mission of this new team will be to analyse customer feedback, create actionable insights and improve the customer experience together with our EU business partners.
As the leading EU CS Data Scientist, you will own the analytical strategy for EU Customer Service. As a “hands-on” data science leader, you lead large projects to drive customer experience improvements, often in new territory, with quantifiable impact for the customer. You drive experiments and rigorous analysis to innovatively answer business questions and evaluate our service. You are able to develop solutions for highly complex business problems that may extend into other organizations. You anticipate and develop solutions that can address forward-looking business problems. You simplify the design and improve the accuracy of existing solutions, models, processes, and technologies.

This position can be located in any EU CS ((Cork, Edinburgh, Regensburg, Berlin, Rabat, Cagliari) or corporate site (London, Paris, Madrid, Milan, Paris, Luxembourg).

*This role requires a valid visa/work permit*

Key Responsibilities:
Responsibility includes but is not limited to:
· Define the analytical strategy and build a roadmap to support EU Customer Service strategy and customer effort reduction
· Influence EU CS strategy and business partners by challenging assumptions and driving evidence-based decision making
· Evaluate cross-team perspectives and understand how interactions among teams, processes, and software systems need to be modeled in analytics solutions
· Investigate the feasibility of applying scientific principles and concepts to business problems and products
· Deep dive into a significant opportunity, designing the right scientific approach and delivering the solution to drive data insight or describe an end-to-end system
· Develop scalable algorithms and models to support business decision making
· Help raise awareness and educate the organization on new and well-established data science techniques