Amazon Senior Applied Scientist Fulfillment Amazon 

United States, Washington, Bellevue 

57730384

Key job responsibilities
As a senior member of the science team, you will- Drive and execute ML projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
- Review and audit modeling processes and results for other scientists, both junior and senior.
A day in the life
In this role, you will be a technical leader in ML with significant scope, impact, and visibility. As a senior scientist on the team, you will be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. From day one, you will be working with experienced scientists, engineers, and designers who love what they do. You are expected to make decisions about technology, models, and methodology choices. You will strive for simplicity, and demonstrate judgment backed by mathematical proof. You will also collaborate with the broader decision and research science community in Amazon to broaden the horizon of your work and mentor engineers and scientists. The successful candidate will have strong expertise in applying ML models in an applied environment and is looking for her/his next opportunity to innovate, build, deliver, and impress. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready machine learning solutions. The candidate will need to be entrepreneurial, wear many hats, and work in a fast-paced, high-energy, highly collaborative environment. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.

- Master's degree in math/statistics/engineering or other equivalent quantitative discipline
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Proficiency in model development, model validation, and model implementation with big data

- PhD in math/statistics/engineering or other equivalent quantitative discipline
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Extensive knowledge and practical experience in several of the following areas: ML, statistics, statistical learning, deep learning, and recommendation systems