Amazon Senior Applied Scientist Retail Science 

Japan 

330360282

To help vendors grow their business, Amazon provides multiple programs such as deals, ads, etc. In this position, you will be expected to research, design and build new models to evaluate the downstream impact of those programs, and provide recommendation on the most appropriate programs depending on the vendor need. It will require working in the areas of ML and causal inference for downstream impact estimation. The ideal candidate will have knowledge of at least one of ray, spark or rapidsai framework to accelerate model training. A background in causal inference (e.g. Double ML) is a plus but not required. This is the ideal role if you are excited about leveraging science for tangible business impact.
Key job responsibilities
As an Applied Scientist, your responsibilities will be:
- Work closely with other scientists and engineers to review and improve your model design proposals.- Spot opportunities for innovation and scientific publications, and publish to internal or external conferences.- Keep up to date with scientific development in the field.
Because we are not tied to a specific technology, such as Search or Alexa, our projects and the science required change dynamically depending on the vendor needs. In the past we have worked on initiatives drawing from multiple disciplines, including causal inference, LLM, forecasting, and optimization.

- PhD, or Master's degree and 5+ years of building machine learning models for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl

- PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field