Applied Scientist II SCOT Long-Term Planning
Applied Scientist II SCOT Long-Term Planning
Posted on :
13-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Are you passionate about solving complex problems that impact millions of customers Join Amazons Supply Chain Optimization Technologies (SCOT) LongTerm Planning team where you will architect the future of the worlds most advanced fulfillment network.
As an Applied Scientist on our team you will drive multibillion dollar investment decisions that shape Amazons global fulfillment strategy. You will pioneer innovative solutions using operations research machine learning and statistical techniques directly influencing Amazons ability to delight customers while optimizing billions in capital investments. Your insights and recommendations will be presented to the highest levels of senior leadership helping guide companywide strategy.
In this role you will develop our nextgeneration MultiTier Marginal Benefit Analysis (MTMBA) platform. This involves creating sophisticated forecasting models that power network expansion decisions transforming complex supply chain challenges into elegant mathematical solutions. You will design and implement novel algorithms that optimize warehouse placement timing and capacity all while leveraging advanced machine learning techniques and largescale optimization modeling.
You will join our LongTerm Planning Organization within SCOT working alongside worldclass applied scientists economists research scientists product managers and software engineers. We are seeking innovative thinkers who can balance theoretical excellence with practical implementation. Your ability to communicate complex technical concepts and drive datadriven decisions at massive scale will be crucial to your success.
PhD or Masters degree and 5 years of building machine learning models or developing algorithms for business application experience
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
3 years of science technology engineering or related field experience
Experience programming in Java C Python or related language
Experience in professional software development
Demonstrated research experience in Causal Inference Bayesian Modeling or Optimization with a proven track record of publications at wellregarded conferences and journals
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
As an Applied Scientist on our team you will drive multibillion dollar investment decisions that shape Amazons global fulfillment strategy. You will pioneer innovative solutions using operations research machine learning and statistical techniques directly influencing Amazons ability to delight customers while optimizing billions in capital investments. Your insights and recommendations will be presented to the highest levels of senior leadership helping guide companywide strategy.
In this role you will develop our nextgeneration MultiTier Marginal Benefit Analysis (MTMBA) platform. This involves creating sophisticated forecasting models that power network expansion decisions transforming complex supply chain challenges into elegant mathematical solutions. You will design and implement novel algorithms that optimize warehouse placement timing and capacity all while leveraging advanced machine learning techniques and largescale optimization modeling.
You will join our LongTerm Planning Organization within SCOT working alongside worldclass applied scientists economists research scientists product managers and software engineers. We are seeking innovative thinkers who can balance theoretical excellence with practical implementation. Your ability to communicate complex technical concepts and drive datadriven decisions at massive scale will be crucial to your success.
PhD or Masters degree and 5 years of building machine learning models or developing algorithms for business application experience
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
3 years of science technology engineering or related field experience
Experience programming in Java C Python or related language
Experience in professional software development
Demonstrated research experience in Causal Inference Bayesian Modeling or Optimization with a proven track record of publications at wellregarded conferences and journals
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
