[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.ResponsibilitiesWe are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the teamThis position is critical in helping us learn more about our data and finding opportunities to delight customers with data driven insights and machine learning modelsThe Data Science and Analytics team owns data science, data engineering, and business intelligenceYou will be supporting multiple business and technical stakeholders with high velocity analyticsThis 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 modelsYou 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 recommendationsAs 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 customersSkills5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience4+ years of data scientist experienceExperience with statistical models e.g. multinomial logistic regression2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experienceExperience managing data pipelinesExperience as a leader and mentor on a data science teamBenefitsMedical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanSign-on paymentsRestricted 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) matchingPaid time offParental leaveCompany OverviewAmazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. It was founded in 1994, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is https://amazon.com.Company H1B SponsorshipAmazon has a track record of offering H1B sponsorships, with 3262 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.