Sr. Data Scientist, Consumables (消費財事業部)

- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience documenting modeling for technical and business leaders
- Experience working with data engineers and business intelligence engineers collaboratively
- Experience working with scientists, economists, software developers, or product managers
- Experience working across functional teams and senior stakeholders
- Familiarity with the Japanese market and FMCG industry
Amazon Japan is seeking an experienced Sr. Data Scientist to join our growing team. In this critical role, you will leverage your strong quantitative and analytical skills to drive data-driven insights that shape our FMCG (fast-moving consumer goods) business and other key strategic initiatives.

Your responsibilities will include:
- Solving complex, ambiguous business problems using appropriate statistical methodologies, modeling techniques, and data science best practices to lead business insights for FMCG business growth. You will work closely with cross-functional partners to translate business requirements into actionable data science solutions.
- Designing and implementing scalable, reliable, and efficient data pipelines to extract valuable insights from diverse data sources. This includes making appropriate trade-offs between short-term and long-term needs.
- Communicating your findings and recommendations clearly and persuasively to technical and non-technical stakeholders. You will document your work to the highest standards and ensure your solutions have a measurable impact on the business.
- Mentoring and developing more junior data scientists on your team. You will actively participate in the hiring process and contribute to the growth of Amazon's data science community.
- Staying abreast of the latest advancements in data science and applying innovative techniques where appropriate to tackle challenging business problems.