Data Scientist II, SCOT OSS - Sourcing Execution & Performance

About the role

The Optimal Sourcing Systems (OSS) team within Amazon Global Supply Chain Optimization Technology (SCOT) is seeking a Data Scientist II to join the team. OSS designs and builds systems that measure and manage Amazon’s supplier capabilities, identify and react to supply disruptions, and prioritize inbound freight for the global network.

Responsibilities

• Build models to set optimal parameters such as lead times to ensure the accuracy of our Inbound network
• Build analytical frameworks to identify and drive improvements in purchase order lifecycle management and defect coaching/chargebacks
• Develop Gen AI solutions related to dispute evaluation and vendor coaching
• Build models and solutions to enable collaborative inventory planning with vendors

Requirements

• 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

Qualifications

• 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
• Experience applying theoretical models in an applied environment

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan