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

Note: The job is a remote job and is open to candidates in USA. Amazon is seeking a Senior Data Scientist for the Rapid & Rural Logistics (R2L) Science & AI team, which focuses on building innovative supply chain solutions for ultra-fast customer experiences. The role involves leveraging data science and machine learning techniques to provide insights and analytics that enhance customer satisfaction and improve operational efficiency.

Responsibilities

• 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

Skills

• 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 QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan
• Sign-on payments
• Restricted stock units (RSUs)
• 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

Company Overview

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