Data Scientist II: Sourcing Optimization & Gen AI

Amazon Inc.; Omaha, Northern (NE, KY); Hybrid; USD 136,000 - 184,000; Full time

Job summary

Amazon is seeking a Data Scientist II in Bellevue, WA to join the SCOT OSS team within Sourcing Execution & Performance. You will build models to optimize inbound lead times, improve purchase order lifecycle, and develop Gen AI solutions for vendor coaching.

The role partners with Product Management, Operations, and Tech to translate complex business logic into scalable analytics and communicate insights to technical and non-technical stakeholders.

Qualifications

• 2+ years in data scientist or similar role with data extraction, analysis.
• 2+ years of data querying languages (e.g. SQL, Hadoop/Hive).
• 3+ years of machine learning/statistical modeling data analysis tools and techniques.
• Master's degree in a quantitative field or Bachelor's degree with 5+ years in a quantitative field.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Collaborate with product managers, science, and engineering teams to design and implement model solutions for Sourcing Execution & Performance systems
• Use large datasets or experiments to make causal inferences or predictions
• Work with engineers to automate science analysis processes and build scalable measurement solutions
• Interpret data, write reports, and make actionable recommendations
• Drive technical standards and best practices for the team's Science solutions
• Mentor and provide technical guidance to other team members on complex projects

Skills

Data extraction

Statistical modeling

Machine learning

SQL

Education

Master's degree in a quantitative field

Bachelor's degree + 5+ years in quantitative field

Tools

SQL

Hadoop/Hive

Python

Job description

Amazon is seeking a Data Scientist II in Bellevue, WA to join the SCOT OSS team within Sourcing Execution & Performance. You will build models to optimize inbound lead times, improve purchase order lifecycle, and develop Gen AI solutions for vendor coaching.

The role partners with Product Management, Operations, and Tech to translate complex business logic into scalable analytics and communicate insights to technical and non-technical stakeholders.