The Supply Chain Optimization Technologies (SCOT) Buying team is at the heart of Amazon's global inventory management. We build sophisticated automated systems that decide what to buy, when to buy it, and where to place billions of dollars in inventory across Amazon's vast network. These decisions directly impact Amazon's ability to delight customers and drive operational efficiency. Join us to solve complex technical challenges at massive scale, shaping the core of Amazon's retail business through data-driven decisions. As a Data Scientist in SCOT Buying Outcomes, you will be responsible for developing and supporting best-in-class data science methodologies and models that provide crucial inputs to Amazons diverse buying programs. Youll address ambiguous buying questions at scale by building tools drive key decisions in buying and sourcing strategies across Just in Time, Advanced Purchasing, and Global Ordering programs. This role requires exceptional technical expertise to handle massive datasets, familiarity with deriving causal inferences using observational data, and able to model variations related with different buying and cost scenarios across different planning horizons. Upon completion of statistical analysis, the Data Scientist needs to communicate results and recommendations to stakeholders by translating technical framework to business-oriented insights. This role requires an individual with excellent analytical abilities as well as business acumen. The successful candidate will be comfortable with ambiguity, with attention to detail, an ability to balance analysis with critical thinking and judgement, and work in a fast-paced and ever-changing environment. They recognize that the true measure of the success of the work product is based on the business impact the findings have had. Key job responsibilities- Collaborate with product managers and deep learning science and engineering teams to design and implement model solutions for Amazon buying systems- Develop edge case agile models for on-going buying assessments toward the end goal of optimizing buying decisions for millions of products world-wide- 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- Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and be able to clearly communicate appropriate triggers and actions- Drive technical standards and best practices for the team's data architecture and analytics approaches- Mentor and provide technical guidance to other team members on complex projects. A day in the life. You might start your day working with a teammate to optimize a complex metric attribution logic. You could then collaborate with a Senior SDE to design the model architecture that enables our Gen AI tools for understanding the buying decisions. Later, you could lead a model backtesting and lab design review for a new cross-program framework and present analysis on a strategic business decision to senior leadership. 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 If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If youre passionate about this role and want to make an impact on a global scale, please apply! About the team. You'll join a dynamic team of Data Scientists, Production Managers, SD - Es, and BI - Es within SCOT Buying Outcomes, focusing on data-driven decisions that impact Amazon's global supply chain. Our team brings together simulation and analytics across multiple buying programs, creating exciting opportunities to reshape our next generation of buying tools. We're passionate about making our models and data accessible and actionable, whether it's through self-service tools or deep-dive analyses. We value collaboration, innovation, and the ability to translate complex technical concepts into business impact. Basic 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. Preferred Qualifications- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology company.