Job Information
Amazon Data Scientist, EU S/C, Supply Chain Science in Luxembourg, Luxembourg
Description
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you?
We are looking for a Data Scientist who will be responsible to develop cutting-edge scientific solutions to optimize our Pan-European fulfillment strategy, to maximize our Customer Experience and minimize our cost and carbon footprint.
You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems.
To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels.
You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.
Key job responsibilities
Design and develop mathematical models to optimize inventory placement and product flows.
Design and develop statistical and optimization models for planning Supply Chain under uncertainty.
Manage several, high impact projects simultaneously.
Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.
Basic Qualifications
Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
Experience as a data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources
Preferred Qualifications
Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
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.
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