Data Scientist II: GenAI & Scalable ML Solutions

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Amazon Inc. in Seattle is seeking a Data Scientist II for the 1P Credito, Payments team to translate large datasets into actionable insights and data-driven strategies.

You will design, implement and validate ML models, work with engineering to deploy real-time solutions, and mentor junior scientists. The role emphasizes applying ML and GenAI techniques to optimize customer promotions and financial products, collaborating with cross-functional partners across regions, and navigating ambiguity to

Qualifications

• Experience as a Data Scientist
• Experience with data scripting languages (SQL, Python, R) or statistical software
• Experience with ML/statistical modeling and performance-tuning
• Master's degree in CS/Engineering/Math or equivalent, or ML/Data Scientist experience at a large tech company

Responsibilities

• Use ML and analytical techniques to create scalable solutions for business problems
• Analyze large historical data to automate and optimize processes
• Design and deploy end-to-end ML models in production
• Research novel ML/statistical approaches
• Collaborate with software engineering to enable real-time model implementations
• Work with business owners to optimize operations
• Mentor other scientists and engineers in ML techniques
• Innovate with GenAI for automated customer promotions
• Collaborate with cross-functional teams to scale models to millions of customers across countries

Skills

SQL/Python/R

ML/Statistics

Data storytelling

Mentoring

Education

MS in CS/Engineering/Math

PhD (preferred)

Tools

Hadoop/Spark/Hive

Job description

Amazon Inc. in Seattle is seeking a Data Scientist II for the 1P Credito, Payments team to translate large datasets into actionable insights and data-driven strategies.

You will design, implement and validate ML models, work with engineering to deploy real-time solutions, and mentor junior scientists. The role emphasizes applying ML and GenAI techniques to optimize customer promotions and financial products, collaborating with cross-functional partners across regions, and navigating ambiguity to