Description

　　Have you ever ordered a product on Amazon websites and, when the box arrived, wondered how you got it so fast, how much it would have cost Amazon, and what kinds of systems & processes must be running behind the scenes to power the whole operation? If so, the European Supply Chain team is for you.

　　Amazon seeks a passionate, results-oriented research scientist to join our European Supply Chain team in Luxembourg. You will be responsible to monitor and optimize our complex and expanding fulfilment network end-to-end.

　　Successful candidates will have the attitude of an inventor combined with strong analytic skills and problem-solving mindset. You will work both bottom up from anecdotes to algorithmic improvements and top down from abstract concept to real process change. This highly visible role requires collaborating with software developers and product managers, retail, fulfillment centers and transportation teams. You must have the experience and capability to create and present documentation for senior executives. You love solving complex problems but you are equally strong at simplifying them for a less technical audience.

　　Key job responsibilities

　　 Identify and act upon opportunities to optimize planning, placement, inventory transfers or customer shipments.

　　 Support the EU Supply Chain team to ensure scientific rigor driving the models we create.

　　 Deliver step-changes in supply chain performance through optimization of configurations and parameters or through improved algorithms and processes.

　　 Lead complex analysis, develop models and reports to drive key strategic decisions.

　　 Collaborate with operations, retail and software teams to implement key strategic initiatives.

　　 Analyze financial impacts and prioritize new features based on their relevance.

　　 Track the realized savings and impacts and communicate results to senior leaders.

　　We are open to hiring candidates to work out of one of the following locations:

　　New York, NY, USA

　　Basic Qualifications

　　Degree in mathematics, statistics or other quantitative area. Master’s level degree or higher preferred.

　　Fluency in statistical concepts and advanced statistical techniques - distributions, confidence intervals, time series analysis, regression models, clustering.

　　Experience with statistical analysis tools (such as R), root cause analysis, process design and control.

　　Strong knowledge of SQL. Mathematical, analytical, and data-driven decision making skills.

　　Excellent Microsoft Office skills, including strong working knowledge of Excel and VBA.

　　Preferred Qualifications

　　Excellent written and verbal communication skills. Ability to simplify complex topics for broad audiences, as the role requires effective communication with colleagues from computer science, operations research and business backgrounds.

　　Team player with proven ability to work with cross-functional teams in various locations.

　　A track record of problem solving and creativity in finding/designing new solutions and innovative methods, using software systems and the desire to create and build new processes.

　　Ability to handle multiple competing priorities and projects in a fast-paced environment.

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,700/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.