Senior Data Scientist, Rapid & Rural Logistics; R2L Science & AI

Senior Data Scientist, Rapid & Rural Logistics (R2L) Science & AI

Job :  |  Services LLC

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.

• We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team. This position is critical in helping us learn more about our data and finding opportunities to delight customers with data driven insights and machine learning models.
• The Data Science and Analytics team owns data science, data engineering, and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics.
• This role is uniquely positioned in the team as we have a growing need for looking around corners, prioritizing opportunities using data driven insights, and finding solutions to these opportunities using different machine learning techniques and causal inference models.
• You will be diving deep in our data and have a strong bias for action to quickly produce high quality data analyses with clear findings and recommendations. As part of our journey to learn about our data, some opportunities may be a dead end and you will be balancing unknowns with delivering results for our customers.

• 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

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

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

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USA, NY, New York -  -  USD annually
USA, WA, Bellevue -  -  USD annually