About the job
The R2L team is responsible for building the next generation supply chain for Amazon’s world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes! R2L Science & AI team sits under R2L and is a central team for all Data Science/AI related asks. We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team.
Responsibilities
- Helping the team learn more about their data and finding opportunities to delight customers with data driven insights and machine learning models.
- Supporting multiple business and technical stakeholders with high velocity analytics.
- Prioritizing opportunities using data driven insights and finding solutions using different machine learning techniques and causal inference models.
- Diving deep into the data and quickly producing high quality data analyses with clear findings and recommendations.
Qualifications
Minimum
- 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
Preferred
- 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