drjobs Research Scientist Fullfilment By Amazon FBA Science Level 5 FBA Science

Research Scientist Fullfilment By Amazon FBA Science Level 5 FBA Science

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1 Vacancy
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Job Location drjobs

Bellevue - USA

Yearly Salary drjobs

$ 136000 - 212800

Vacancy

1 Vacancy

Job Description

The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) empower thirdparty sellers worldwide to use Amazons cuttingedge logistics warehousing distribution fulfillment and transportation services. These services ensure products remain in stock customer orders are fulfilled fast and reliably while endtoend supply chain costs are reduced. As a result sellers can focus less on supply chain management and more on developing outstanding products delighting customers and scaling their businesses. The FBA team is looking for a passionate curious and creative Research Scientist with expertise in operations research machine learning or statistics preferably with a focus on pricing and market design and a proven record of solving business problems through scalable modeling and analytical skills. As a research scientist in the team you will be responsible for designing and implementing cutting edge optimization and ML models building automated inventory logistics capacity and revenue management systems while collaborating with business and software teams to solve key challenges facing the worldwide FBA business. Such challenges include 1 designing endtoend supply and demand management systems 2 developing and improving optimization and ML models to support FBA sellers in growing their businesses 3 creating decisionsupport tools that minimize the cognitive burden on sellers in navigating supply chain and operational complexities 4 ensuring worldwide Amazon customers have access to the broadest selection of products from FBA sellers and 5 driving cost efficiencies across endtoend FBA supply chain. Unlike many companies that purchase offtheshelf planning systems we design and build custom solutions to suit Amazons unique needs. Our team members are at the forefront of supply chain innovation tackling some of the industrys most challenging problems alongside top product managers research scientists statisticians economists and software developers. We value individuals who exhibit deep technical proficiency a desire for learning new areas and a track record of delivering tangible results while fostering personal growth team development and career advancement.

A day in the life
As a scientist on the team you will be involved with every aspect of the processfrom idea generation business analysis and scientific research to development and deployment of advanced modelsgranting you a profound sense of ownership. Your solutions have the potential to drive billions of dollars in impact for Amazons thirdparty seller business. From day one you will collaborate with experienced scientists engineers and product managers who are passionate about their work. Additionally you will engage with Amazons broader decision and research science community enriching your perspective and mentoring fellow engineers and scientists. The ideal candidate will have the strong expertise in applying operations research methodologies to solve a wide variety of supply chain problems involving millions of unique products hundreds of thousands of Selling Partners and tens of millions of customers worldwide. You will strive for simplicity and demonstrate judgment backed by mathematical rigor as you continually seek opportunities to innovate build and deliver. An entrepreneurial spirit adaptability to diverse roles and agility in a fastpaced highenergy highly collaborative environment are essential.



About the team
Sellers are a crucial part of Amazons ecosystem playing an integral role in our mission to offer the Earths largest selection and lowest prices. FBA is a service that enables thirdparty sellers to outsource order fulfillment to Amazon and leverage Amazons worldclass facilities to provide customers Prime delivery promise. By partnering with Amazon sellers benefit from powerful costeffective solutions that leverage our scale and technology gain access to Prime members worldwide boost their sales and free up time to focus on inventing amazing products for customers. To further ease supply chain and operational complexities for our selling partners Amazon introduced Supply Chain by Amazon (SCA) an endtoend fully automated suite of supply chain services. With SCA Amazon handles everything from picking up inventory from global manufacturing facilities shipping across borders managing customs clearance and ground transportation to storing inventory in bulk managing replenishment across Amazon and other sales channels and delivering directly to customers all without sellers having to worry about managing their supply chain. A pivotal service within SCA is Amazon Warehousing and Distribution which offers bestinclass bulk storage and distribution services ensuring sellers remain wellstocked across all their sales and fulfillment channels while reducing overall supply chain costs. The FBA team is at the heart of this operation responsible for inventory management automated replenishment fulfillment pricing resource planning capacity management and a wide range of operational recommendation services for sellers. We focus on understanding seller behavior and experience building automated tools and assistants recommending optimal actions designing seller policies and incentives and developing sciencedriven products and services that empower thirdparty sellers to grow their businesses. We develop and innovate sciencedriven solutions at the intersection of machine learning statistics economics operations research and data analytics. Our work spans the full stack from foundational backend systems to cuttingedge user interfaces. Our culture is rooted in rapid prototyping rigorous experimentation and datadriven decisionmaking.

PhD or Masters degree and 4 years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Ph.D. in Operations Research Machine Learning Statistics Computer Science Applied Mathematics Operations Management Industrial Engineering Economics or a related field.
2 years of experience in solving complex problems in the area of operations research statistics or machine learning as well as in developing strategies for largescale supply chain transportation and logistics networks.
Ability to perform quantitative economic and numerical analyses of largescale systems under uncertainty using statistical and optimization tools such as Python R and XPRESS to determine solution strategies for complex decisionmaking problems.
Fluency in using mathematical optimization or machine learning to develop solution methods to be used by inhouse decision support tools and software.
Proficiency working with Python SQL and/or C/C.
Excellent written and verbal communication skills while addressing both technical and business people ability to speak at a level appropriate for the audience and skills to present business cases and document models analyses and results to influence important decisions.

2 years of handson experience in using models to solve complex realworld business problems.
Experience in supply chains transportation and logistics models.
Significant peerreviewed scientific contributions in premier journals and conferences.
Programming experience using at least one modern programming language such as Python Java or C.
Proficiency in development validation and implementation optimization or machine learning models for largescale applications.
Superior verbal and written communication and presentation skills ability to convey rigorous mathematical concepts and considerations to nonexperts.
Proven ability to work effectively in a crossfunctional team.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 $212800/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

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