Amazon Data Scientist FBA Science 

United States, Washington, Bellevue 

72057728

Key job responsibilities• Solve real-world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.
• Write code (Python, Scala, etc.) to analyze data and build innovative statistical and machine learning models to drive FBA growth and efficiency.
• Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps
• Retrieve, analyze, synthesize, and present historical data in a format that is immediately useful to answer specific questions, improve system performance, or support decision making.
• Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
• Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.A day in the life
As a Data Scientist, you will solve real world large ML problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, building new and enhance existing ML models. You will work with Product Managers, Software Engineers, and other Scientists, to deeply understand FBA Seller business problems and priorities. You will lead the research where we are responsible for developing solutions to better manage and optimize worldwide FBA inventory capacity, while providing the best experience to our Sellers to growth their business.

- Master's degree
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment

- PhD
- Experience in a ML or data scientist role with a large technology company
- Experience in Python, Perl, or another scripting language
- 4+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, data analytics, NLP, deep learning, recommendation systems, information retrieval.