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Contenu de l'offre Data Scientist, EU Amazon Vendor Services chez Amazon.com
THIS ROLE COULD BE BASED IN PARIS, MILAN, MADRID, MUNICH, LONDON OR LUXEMBOURG
Amazon opened on the World Wide Web in July 1995 and today offers Earth’s biggest selection. 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 platform.
Are you interested in innovating to deliver a world-class level of service to Amazon’s Vendors? Amazon’s Vendor Services program improves customer experience on Amazon across EU by working directly with Vendors to improve value, selection and convenience across their business. Our team will invent and innovate across services, technology, processes and people to grow the program, improve vendor engagement and satisfaction and enable scalability.
Amazon is looking for a talented and passionate Data Scientist to build world class Data Science/ business intelligence, analytics, and reporting systems for the Amazon Vendor Service (AVS) program across EU. AVS is a vendor-funded program designed to provide Amazon’s vendors focused attention, tools and services to help them deliver the best customer experience and grow their business with Amazon. AVS is based on a menu of modular services covering Selection, Availability and Operational Efficiency, Traffic, Conversion, Business Advice and access to a privileged point of contact.
The Data Scientist– AVS Technology is accountable for the establishing performance measures and analytics for AVS teams. Facilitate creation of KPIs and KPMs, defined standards on measurement, reporting, and reviewing them to keep performance of AVS operations teams on track. (S)He should thrive and have demonstrated success in an environment, which offers ambiguously defined problems, big challenges, and quick changes. (S)He will be expected to balance detailed execution with speed and possess solid collaborative skills. (S)He will be working in a fast-paced environment where every day brings new challenges and new opportunities. (S)He should have excellent business and communication skills and be able to work with business owners to develop and define solutions. This position involves regular communication with senior management on project status and risks. Cross-team coordination, project management, and executive presentation skills are essential.
This role will work in strict collaboration with the in-country AVS Subject Matter Experts (SMEs), Business Sponsors, Retail Leaders, other AVS Central teams, and AVS program counterparts across the world.
This role will be part of the European Retail team. The Product Manager Vendor Services , EU AVS position could be based in any location in which Amazon Retail teams are present (Paris, London, Munich, Milan, Madrid, Luxembourg).
The successful candidate will be a recognized expert for their analytical and leadership abilities.
Apply Statistical and Machine Learning methods to specific business problems and dataEnsure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.Work with engineers to develop efficient data querying and modeling infrastructureManage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be usefulCommunicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisionsWork with teams in AVS across verticals, define success measures at team level and required KPI and KPMs to be tracked.Establish reporting standards by role, country, and vertical. Apply data engineering to deliver automated solutions, where possible.Assess performance of KPIs and KPMs; surface exceptions to the respective teams. Setup and execute processes to enable operations to drive corrective actions as necessary.Setup and execute processes of back-testing to verify the corrective action effectiveness and reportSetup and execute processes for creation and distribution canned analysis reports where automated solutions do not exist.Setup and execute processes for performing exploratory data analysis to unearth insight or patterns that can be used to improve our Vendor experience, increase business impact and ultimately drive Vendor investments.Work closely with Workflow, Data Engineering, and Software Engineering teams to drive initiatives on service offering and operational efficiency.
Bachelor Degree in Data Science, Analytics, Computer Science Engg., Systems Engg., Statistics6+ years of experience with relevant technologies, enterprise reporting systems, data analytics.6+ years of experience in working as an analytics or data engineering member working with cross functional teams.
Bachelor Degree in Data Science, Analytics, Computer Science Engg., Systems Engg., Statistics6+ years of experience with relevant technologies, enterprise reporting systems, data analytics.6+ years of experience in working as an analytics or data engineering member working with cross functional teams.