Are you interested in applying your research experience, science and engineering knowledge, and data science skills to world-changing problems? Are you interested in utilizing remotely sensed information in the development of methods, models and systems for understanding weather event impacts on fulfillment and logistics? If so, then this is the job for you.
The Fulfillment Execution Data Science (FEDS) team is responsible for developing tools and models for our fulfillment network to provide analytical-based insights to help improve operational processes. We are looking for motivated scientists with strong modeling and analysis skills to join our team. You will be responsible for utilizing remotely sensed information, in conjunction with ground-based observations, to provide information on weather-related impacts applicable to our business. You will closely work with engineers, business stakeholders, research colleagues, and IT groups in incorporating the essential trade-offs within the models and take an active role in effectively communicating the recommendations to senior management.
The qualified candidate will have a proven history of driving critical research and development and developing in-depth analytical understanding of weather impacts to systems. Tools will include understanding of remote sensing physics and the signal processing/statistical modeling of this information to develop real-world measurement products.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation