Amazon Data Scientist Optimal Inventory Health SCOT Field 

United States, Washington, Bellevue 

510310280

Amazon SCOT OIH (Supply Chain Optimization Technology - Optimal Inventory Health) team owns inventory health management for Retail worldwide. We use a dynamic programming model to maximize the net present value of inventory driving actions such as pricing markdowns, deals, removals, coupons etc.
-- Building and maintaining modular, scalable data models that provide the generality, flexibility, intuitiveness, and responsiveness required for seamless self-service insights.
-- Generating deeper insights that drive competitive advantage using statistical modeling and machine learning.
Key job responsibilities2. Interview stakeholders to gather business requirements and translate them into concrete requirement for data science projects
3. Build models that forecast growth and incorporate inputs from product, engineering, finance and marketing partners
4. Apply data science techniques to automatically identify trends, patterns, and frictions of product life cycle, seasonality, etc
5. Work with data engineers and software development engineers to deploy models and experiments to production
6. Identify and recommend opportunities to automate systems, tools, and processes

- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 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
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
- Experience with statistical models e.g. multinomial logistic regression

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team