Data Scientist II, SCOT OSS - Sourcing Execution & Performance

Description

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technology (SCOT) organization is for you.

Watch this video to learn more about our organization, SCOT: (Use the "Apply for this Job" box below).-scot

We are the Optimal Sourcing Systems team (OSS) within SCOT and are looking for a Data Scientist II to join us! OSS designs and builds systems that measure and manage Amazon’s supplier capabilities, identify and react to supply disruptions, and prioritizes inbound freight for our global network. OSS software is used by every country Amazon services, and is a critical link to ensuring Amazon offers the products our customers want, at the lowest possible cost.

This team under OSS orchestrates and tracks inventory movement into Amazon's network, maintains performance feedback loops, and ensures vendor compliance.

The Data Scientist II, in partnership with the Product Management, Operations, and Tech teams, will lead efforts in four areas:

1) Building models to set optimal parameters such as lead times to ensure the accuracy of our Inbound network

2) Building analytical frameworks to identify and drive improvements in purchase order lifecycle management and defect coaching/chargebacks

3) Developing Gen AI solutions related to dispute evaluation and vendor coaching

4) Building models and solutions to enable collaborative inventory planning with vendors

The ideal candidate thrives in ambiguous problem spaces, relishes working with large volumes of data, and enjoys the challenge of highly complex supply chain contexts. They can translate complex business logic into scalable models and communicate insights effectively to both technical and non-technical stakeholders. Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. Experience with supply chain optimization, operations research, or vendor management systems is a plus.

• 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

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:

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

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

• 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

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Amazon is an equal opportunity employer and does not discriminate on the…