Senior Applied Scientist, Amazon Stores Economics & Science (SEAS)
Share
Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Distributed Optimization Team within SEAS tackles with complex cross organizational and multi-disciplinary supply chain problems. We are team of passionate Applied Scientists Research Scientists and Economists collaborating to uncover formulate and solve big bet issues for broader Stores organization. We are seeking to add another member to our team who thrives in inter-disciplinary ambiguous and high visibility environments.
Key job responsibilities
The successful candidate will be expected to lead end-to-end technical initiatives from research to production build and deploy large-scale optimization systems and translate complex business problems into mathematical frameworks. They should have a strong publication record in top-tier conferences/journals (INFORMS EC ICML etc.) and experience mentoring junior scientists and coordinating cross-functional projects. Technical expertise must include deep knowledge of operations research and optimization methods hands-on experience with machine learning and statistical modeling proficiency in market design and a strong background in algorithm development and implementation. Leadership responsibilities include driving technical strategy and roadmap for complex initiatives influencing senior stakeholders and shaping technical direction mentoring junior scientists and fostering team growth and collaborating effectively across functions to deliver business impact.
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- PhD in econometrics statistics industrial engineering operations research optimization data mining analytics or equivalent quantitative field or PhD and 5 years of industry or academic research experience
- Experience in at least one of the related science disciplines (optimization - LP MIP statistics machine learning process control combinatorial optimization)
- Experience leading the design build and deployment of complex and performant (reliable and scalable) software solutions in production
- Experience effectively communicating complex concepts through written and verbal communication
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 167100.00 - 226100.00 USD annually
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
