Senior Data Scientist, AWS Central Econ and Science
# Senior Data Scientist, AWS Central Econ and Science **Amazon Web Services, Inc.** · New York, New York, USA · `On-site` · `full-time` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Amazon* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data Science]` `[Science]` --- ### About the Role Our team, AWS Central Econ and Science, partners across AWS leveraging data, economics, science, and business context to build new tech, tools and policies that help AWS customers and the business. In this role you will help build out AWS's CLV framework in support of direct, partner and marketplace selling motions. This includes end to end ownership of notification for human and agentic selling motions to improve customer value from AWS products. Key job responsibilities Ownership includes developing closed loop causal measurement systems along with explainability layers. We work backward through partnering deeply with our business partners to improve processes in addition to science products. We want this role to shape the direction of our efforts to drive value of AWS customers. A day in the life Our team takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We ask people to grow their skills and stretch and do so in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the team Our group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point? - 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 - 4+ years of data scientist experience - Experience documenting modeling for technical and business leaders
- Data Science
- Science
Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Amazon.