Are you interested in creating an impact in sustainability at a scale that few will ever experience? We're looking for an experienced, self-driven, analytical, and creative Data Scientist to drive state-of-the-art solutions for WW Packaging team. With over a billion unique products at Amazon, any advancement in sustainable packaging happens at a big data scale! If you are excited by the prospect of analyzing and modeling terabytes of data to solve real world problems, owning end-to-end business problems and directly impact the profitability of the company, then this role is for you. This position requires work experience in statistical analysis and machine learning, the ability to think big and dive deep, and embody a unique mix of thought leadership and technical acumen. This candidate will possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders. In addition, this opportunity requires excellent troubleshooting, problem solving,
· MS in highly quantitative field (CS/ML, Statistics, Mathematics, Economics, Physics, etc) · 2+ years of industrial or research experience in predictive modeling, data science, and machine learning · Exceptional interpersonal and technical communication skills, both written and verbal · Strong structured thinking and problem solving ability · Solid understand of fundamental statistics · Experience in using Python, R, SAS, Matlab, Spark, or other statistical/machine learning software · Passion for sustainability· 5+ years of industrial or research experience in predictive modeling, data science,