Sr Data Scientist, Amazon Publisher Services

As a Data Scientist on this team, you will solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers. You will write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems, apply statistical and machine learning knowledge to specific business problems and data, build decision-making models and propose solution for the business problem you define, retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance, analyze historical data to identify trends and support optimal decision making, formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers, conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication, and spearhead efforts to conduct experiments alongside demand and measurement teams to identify optimal perfomance path for advertisers while improving APS Share of Wallet.

• Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design 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, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.

• Apply statistical and machine learning knowledge to specific business problems and data.

• Build decision-making models and propose solution for the business problem you define.

• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.

• Analyze historical data to identify trends and support optimal decision making.