Senior Data Scientist, R2L Analytics

Amazon.com • Bellevue, WA

85d • $143,300 - $247,600

About The Position

Revolutionize logistics through groundbreaking data science at Amazon! We're seeking an innovative problem-solver who will transform complex global logistics challenges using advanced analytics and artificial intelligence. Your work will directly impact how millions of packages move worldwide, leveraging cutting-edge machine learning, Large Language Models (LLMs), and predictive technologies to optimize our intricate delivery networks. Our team empowers data-driven decision-making by developing sophisticated analytical solutions that bridge operational insights with strategic vision. You'll have the opportunity to design scalable models, implement advanced AI technologies, and create transformative recommendations that reshape logistics efficiency at a global scale.

Requirements

• 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
• 5+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
• Strong background in data extraction, analysis, and communication
• Expertise in AWS tools and AI-focused technologies

Nice To Haves

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience as a leader and mentor on a data science team
• Experience designing, building and managing data pipelines
• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
• Experience working with scientists, economists, software developers, or product managers
• Experience working with data engineers and business intelligence engineers collaboratively

Responsibilities

• Build sophisticated machine learning models and production pipelines to analyze complex logistics data
• Develop advanced AI solutions using Python, AWS tools, and emerging technologies like Large Language Models
• Synthesize information from diverse data sources to generate meaningful, actionable business insights
• Collaborate with cross-functional teams to translate complex technical findings into strategic recommendations
• Design and implement optimization strategies that enhance network performance and operational efficiency

Benefits

• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package
• Full range of medical, financial, and/or other benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: General Merchandise Retailers
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees