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

Remote · Portugal Full-time

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

  • Amazon 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 Sponsorship

  • Amazon 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.
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