Amazon Data Scientist Amazon Stores Finance Science 

United States, Washington, Seattle 

837816473

We are looking for an outstanding data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.Key job responsibilities
- Demonstrating thorough technical knowledge on feature engineering with large datasets, effective exploratory data analysis, and model building using industry standard ML models
- Working with technical and non-technical stakeholders across every step of science project life cycle- Innovating by adapting new modeling techniques and procedures

- 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
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Master's degree, or PhD
- Experience with time series forecasting and ML forecasting methodologies