Amazon Senior Data Scientist Amazon Stores Finance Science 

United States, Washington, Seattle 

31265670

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

- 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