Amazon Data Scientist JP Supply Chain Optimization Technologies SCOT 

Japan 

48493980

You will work closely with Product Managers, BIEs, Supply Chain Managers, and other Scientists across US, EU, and Japan to build scalable, high insight- high impact products and own improvements to business outcomes within your area, enabling execution of WW and local solutions for next generation selection/assortment systems.You will leverage your expertise in modeling, maths and algorithms to analyze diverse and large datasets to uncover insights that help minimize dependence on manual assortment decisions. The analyses could include: 1) creating decision frameworks to choose between multiple options or cohorts of selection to surface to our customers; 2) creating segmentation frameworks or identify groups or clusters that behave similarly to each other; or 3) building statistical or predictive models to calculate the expected values of outcomes, eventually integrating with the central tech solutions owned by SCOT WWKey job responsibilities
You will be responsible for researching, experimenting and analyzing predictive and optimization models. You will work on ambiguous and complex business and research science problems with large opportunities. You are an analytical individual who is comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.Key job responsibilities
- Interact with product managers to understand their business requirements and operational processes- Adapt existing and invent new techniques for solutions
- Gather data required for analysis and model building- Create and track accuracy and performance metrics
- Prototype models by using high-level modeling languages such as R or in software languages such as Python.
- Familiarity with transforming prototypes to production is preferred.
- Create, enhance, and maintain technical documentation

- 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