Amazon Sr Data Scientist World Wide Fulfillment Design Engineering 

United States, Washington, Bellevue 

636210203

In this role, your main focus will be to perform analysis, synthesize information, identify business opportunities, provide project direction, and communicate design and technical requirements within the team and across stakeholder groups. You consider the needs of day-to-day operations and insist on the standards required to build the fulfillment network of tomorrow. You will assist in defining trade-offs and quantifying opportunities for a variety of projects. You will learn current processes, build metrics, educate diverse stakeholder groups, assist science groups in initial solution design, and audit new process flow implementations. A successful candidate in this position will have a background in communicating across significant differences, prioritizing competing requests, and quantifying decisions made.Key job responsibilities
• Analyze, model and interpret data for Amazon warehouse operational performance using Excel, Pivot tables, VBA, Tableau, SQL (Amazon Redshift), R, Python
• Data analysis, modeling, network flow predictive analysis using Machine Learning models at scale to standardize and enable automation
• Create effective data analysis reports and communicate with stakeholders
• Collaborate to develop and integrate Large Language Model (LLM)-based solutions into fulfillment center design & process development.
• Develop data and optimization-based solutions to the best-in-class process flow to improve the throughput of the fulfillment facilities.
• Support Worldwide Engineering teams by providing necessary data for of process flows and selection of various MHE's
• Manage multiple data analysis projects and tasks simultaneously and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors.
• Support process improvement initiatives among site operations, engineering, and corporate systems groups by providing relevant data.

- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience

- Experience as a leader and mentor on a data science team
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms.