Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)

Experteer Overview

Obtenga más información sobre este puesto leyendo los detalles a continuación y luego envíe su solicitud para ser considerado. In this role you will design and run experiments to answer how 1P audience signals augment Value-Based Optimization across Amazon’s marketing in EU. You’ll build 1P audiences from behavioral, transactional, and lifecycle data, test across surfaces, and generate evidence to guide spend allocation at scale. You will create reusable measurement and experimentation infrastructure and work with engineering to productionize validated prototypes. This is a high-impact, data-driven opportunity to shift marketing toward personalized, cohort-based strategies.

Compensaciones / Beneficios • Build and validate 1P audience segments from Amazon data; design experiments to isolate incremental 1P signal over VBO baselines; deploy audiences across activation surfaces and standardize cross-surface measurement • Apply causal inference methods to measure incremental lift of audience targeting vs VBO; develop power analysis frameworks; deliver evidence-based optimization recommendations • Create scalable audience and measurement frameworks; document learnings for roadmap and business case; collaborate with engineering and PMT to productionize prototypes

Responsabilidades • Experience with algorithms and data structures; xqbhyrx parsing; numerical optimization; data mining; parallel and distributed computing; high-performance computing • Experience building machine learning models or algorithms for business applications • Proficiency in Python, Java, C++ • PhD in computer science, machine learning, robotics, statistics, mathematics, operations research, engineering, or equivalent quantitative field

Requisitos principales •