Amazon Data Scientist CreST 

United States, New York, New York 

509284222

The Creator team’s mission is to make Amazon the Earth’s most desired destination for commerce creators and their content. We own the Associates and Influencer programs and brands across Amazon to ensure a cohesive experience, expand creators’ opportunities to earn through innovation, and launch experiences that reinforce feelings of achievement for creators.
As a Data Scientist in this team, you will be driving the Data Science/ML roadmap in the areas of: creator compensation, channel incrementality, program/feature adoption, marketing campaign analysis, creator segmentation and clustering, creator lifecycle management, predictive analytics, and event forecasting. You will develop statistical and machine learning models to solve for complex business problems, design and run global experiments, and find new ways to optimize the customer experience. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You will also help coach/mentor junior scientists in the team.
Key job responsibilities
• Perform large-scale experimentation to identify hidden relationships between variables in large datasets
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.
• Use advanced causal inference methodologies to design and implement experiments.
• Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems
• Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data• Communicate and coordinate with teams to implement data-driven strategies while measuring progress
A day in the life
In this role, you’ll be utilizing your statistics, causal inference, data analytics and visualization, and creative and critical problem-solving skills to drive new experiments from design to implementation. Rapid development of lightweight predictive analytics models will be your secret weapon. Conclusions and recommendations drawn from your experiments will influence critical business decisions, and inform future science initiatives.

- 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
- 2+ years of data scientist 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