Amazon Senior Applied Scientist Brand Shopping Experiences 

United States, Washington, Seattle 

26889054

We are looking for a Senior Applied Scientist to lead the generation of data driven insights that bring long term value to brands, as well as the ideation and creation of ranking models for brand content. In this role you will influence our team’s science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state of the art machine learning research.
Key job responsibilities
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
Seattle, WA, USA

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with large scale distributed systems such as Hadoop, Spark etc.