Data Scientist, Amazon

• 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

Desirable

• 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 Amazon’s diverse buying programs
• You’ll 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
• 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
• 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
• You'll join a dynamic team of Data Scientists, Production Managers, SDEs, and BIEs within SCOT Buying Outcomes, focusing on data-driven decisions that impact Amazon's global supply chain