Data Scientist II, SCOT OSS - Sourcing Execution & Performance
About The Position
The Optimal Sourcing Systems (OSS) team within Amazon's Global Supply Chain Optimization Technology (SCOT) organization designs and builds systems that measure and manage Amazon’s supplier capabilities, identify and react to supply disruptions, and prioritize inbound freight for Amazon's global network. OSS software is used in every country Amazon services and is critical to ensuring Amazon offers desired products at the lowest possible cost. This specific team within OSS orchestrates and tracks inventory movement into Amazon's network, maintains performance feedback loops, and ensures vendor compliance. The Data Scientist II will partner with Product Management, Operations, and Tech teams to lead efforts in setting optimal parameters for inbound network accuracy, building analytical frameworks for purchase order lifecycle management and defect coaching/chargebacks, developing Gen AI solutions for dispute evaluation and vendor coaching, and building models for collaborative inventory planning with vendors. The ideal candidate is comfortable with ambiguity, large datasets, complex supply chain contexts, and can translate business logic into scalable models and communicate insights effectively.
Requirements
- 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
Nice To Haves
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience with supply chain optimization, operations research, or vendor management systems
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
Benefits
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
