Amazon Senior Data Scientist Consumer Innovation 

Japan, Meguro 

96854661

This role calls for a data analytics leader to identify and implement opportunities to transform the business through a range of diagnostic and predictive analytics. As the lead product analyst for SSC, you will lead data-driven service innovation by identifying supply chain opportunities and defects, service gaps and system/process improvements. You will conduct pricing and demand analysis for service design and planning. You will deep dive product data to understand user behavior and develop insights for future product enhancements. You will refine key metrics and construct new metrics to ensure our systems and processes are performing to a high standard and delivering our service promise to the customer. You will identify causal relationships and estimate the downstream impact our inbound supply chain ultimately has on customer experience.
Key job responsibilities
Your key responsibilities include:
・ Diagnostic analytics - identify inbound supply chain process or system opportunities/defects and recommend process or product improvements・ Prescriptive analytics - from exploratory data analysis to prototyping and implementation of recommendation models for inbound supply chain optimization
・ Keep up to date with recent scientific development in the field.

- 8+ years (in case of Bachelor) or 4+ years (in case of Master) of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
- Proficiency with data analysis and machine learning packages e.g. Pandas, Numpy, Matplotlib/Seaborn/Plotnine, Scikit-Learn, LightGBM, etc.
- Strong understanding of statistical analysis (hypothesis testing and experiment design) and machine learning techniques for tabular data.
- Ability to deal with ambiguity, and respond flexibly to changes in a very fast paced, international environment.
- Communication and presentation skills, with the ability to convey complex analytical insights to technical and non-technical audiences.
- Business level English (written and verbal).