Amazon Senior Data Science AWS Analytics & Research 

United States, Washington, Seattle 

77418450

The ideal candidate will have extensive experience working in complex data and analytics environments at scale, driving solutions to develop better data science practices, preferably within cloud computing environments. Experience with Machine Learning and other advanced analytics techniques is a must and you also need to be able to talk about these technical concepts in plain terms. The role requires both technical depth and the ability to lead and communicate effectively to stakeholders.Key job responsibilities
* Provide thought leadership and technical guidance on data science strategies and their application.
* Partner with product, engineering and design teams to develop and launch innovative data products.
* Lead the adoption of Gen AI and ML-based approaches across data science practice and lead proof of concept initiatives of AI-driven customer use cases.
* Advance our analytics techniques, including statistical analysis and complex data mining, to deliver faster, deeper insights that shape the AWS user experience.
* Build production ready advanced analytics solutions to drive effective business decisions.
* Communicate complex thinking easily at all levels.
* Innovate with new approaches, sharing new technical solutions and product ideas with the teams at AWS.
* Provide mentoring and guidance to the data science and analytics community.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Master's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Computer Science or a related field

- * 8+ years of experience in data science roles with statistical data analysis/ modelling, and managing analytical projects end-to-end.
- * 5+ years of experience in machine learning, natural language processing, and deep learning.