Applied Scientist II, Automated Profitability
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
As an Applied Scientist you bring structure to ambiguous business problems and use science logic and practical experience to decompose them into scalable solutions. You use your broad experience with a diversity of machine learning methods to determine the right approach to solve complex business problems that can have humans-in-the-loop and may be data sparse. You provide feedback to other scientists on the team help them define problems and solutions and mentor junior scientists. Youre committed to on-going learning and can quickly acquire the knowledge you need to address novel problems. You work effectively with science engineering economics and business teams.
Key job responsibilities
- Apply machine learning and modeling techniques including deep learning generative AI reinforcement learning and causal inference methods to automate negotiation processes and drive business growth for Amazon and its vendors
- Work with business subject-matter-experts (SMEs) to develop models that support human decision making during complex business negotiations
- Design experiments and metrics that can quantify the impact of models on business outcomes
- Collaborate with engineering teams to design and implement software solutions for science problems
- Contribute to Amazon and broader research communities by producing publications
About the team
The Automated Profitability Team transforms how Amazon manages and optimizes procurement. We leverage AI to empower Worldwide Stores and Vendors to make best-in-class economic decisions with contextually relevant insights and recommendations that align with broader business objectives.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.
CAN BC Vancouver - 149300.00 - 249300.00 CAD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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