About the Role

Senior Data Scientist role at Amazon focusing on revolutionizing logistics through advanced data science and AI. The position involves building machine learning models, developing AI solutions with Python and AWS, and optimizing global delivery networks. The role requires transforming complex logistics data into actionable business insights.

Key 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

Required Skills & Qualifications

Must Have:

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software experience
• 5+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Master's degree in a quantitative field or Bachelor's degree with 8+ years of professional/military experience

Nice to Have:

• 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

Benefits & Perks

• Medical benefits
• Financial benefits
• Other benefits including equity and sign-on payments