Amazon Senior Data Scientist Amazon Stores Finance 

United States, Washington, Bellevue 

642298561

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 responsibilitiesDemonstrating 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 cycleInnovating by adapting new modeling techniques and procedures

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience managing data pipelines

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience as a leader and mentor on a data science team
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Master's degree
- Experience with time series forecasting and ML forecasting methodologies