Amazon Data Scientist Decision Intelligence 

Luxembourg, Luxembourg 

115466819

As a successful data scientist, you need to deeply understand customers and how best to support them. You will identify specific and actionable opportunities to solve existing business problems. You need to be a sophisticated user of advanced quantitative techniques for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.Key job responsibilities
- Design and run experiments, research new algorithms, and find new ways to improve analytics to optimize the candidate and associate experience.- Foster culture of continuous engineering improvement through mentoring, feedback, and metrics.
- Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce).
- Providing analytical network support to improve quality and standard work results.
- Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
- Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance.- Support Research Scientist in data exploration, feature identification, model optimization and performance monitoring.- Conducting written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.A day in the life

- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience working as a Data Scientist
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience applying theoretical models in an applied environment