Principal Applied Scientist Optimal Inventory Health
Principal Applied Scientist Optimal Inventory Health
Posted on :
28-04-2025
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
Amazons Optimal Inventory Health (OIH) org in Supply Chain Optimization (SCOT) group is looking for a Principal Applied Scientist to optimize one of the most complex eCommerce systems in the world. The Optimal Inventory Health (OIH) drives longterm cash flow (LTFCF) growth by determining optimal inventory dispositions under uncertainties in demand pricing and supply across Amazons 21 marketplaces global network. OIH is in the unique position within SCOT to drive the joint optimization across supply chain and marketing across the levers of Markdowns Removals Outlet Deals Sponsored Ads and Paid Search etc. Our systems deliver hundreds of million dollars saving to Amazon each year. The Principal Applied Scientist will lead the transformation from optimizationbased model to Machine Learning/Reinforcement learning based decisionmaking models to optimize across inventory disposition channels and deliver best experience to Amazon customers through those levers. The role requires multidisciplinary skill sets across Reinforcement learning Deep Learning Prediction and Causal Inference et cetera. Academic and/or practical background in Transformer Architecture and Deep Reinforcement Learning are particularly relevant for this position.
This position requires drive and selfmotivation superior analytical thinking datadriven disposition application of technical knowledge to a business context effective collaboration with fellow scientists software development engineers and product managers effective communication of technical designs to technical and nontechnical audiences and close partnership with many stakeholders from operations finance IT and business leadership.
Key job responsibilities
Seek to understand in depth the end to end value chain of eCommerce across supply chain and marketing and identify areas of opportunities to grow our business using science solutions.
Lead science strategy and roadmap in OIH space
Drive alignment across organizations to achieve business goals
Lead/guide scientists and engineers across teams to develop test launch and improve of science models designed to optimize inventory value and customer experience.
Be responsible for communicating our innovations to the broader internal & external scientific community and business leadership.
Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML.
A day in the life
You will engage with distinguished scientists and Senior Principal scientists across organizations to shape the vision of the eCommerce decision systems across supply chain and marketing.
Our machine learning infrastructure built by talented engineering team (feature stores template based ML pipelines and integration with experiment and production systems) will enable you to quickly prototype and iterate your innovative ideas.
You will collaborate with talented product managers and software engineers to build the endtoend systems.
You will work with stakeholders across retail supply chain finance etc. to understand the business operation process and bottlenecks and build solution to provide the best experience to Amazon customers through automated OIH actions.
About the team
Supply Chain Optimization Technology (SCOT) is the core of the Amazon eCommerce business which leverage science models and systems to automate the decisions and operations of the most complex supply chain in the world. Optimal Inventory Health (OIH) maximize the inventory value in Amazon through all the levers across traffic marketing pricing and reverse logistics.
PhD in Multidisciplinary Design Optimization Systems Optimization Operations Research or related Engineering or Applied Sciences fields
Previous work experience or demonstrated practical industry experience
A proven record of innovation and driving critical research in Applied Optimization in industry government or military
Experience developing intricate systems including establishing target system results and operation tolerances developing a system design analyzing this design use in relation to the function of the elements in the system developing system prototypes and testing and validating the developed design to quantify its value
Excellent interpersonal skills and a cando nevergiveup attitude
Experience of handling large dataset
PhD in Multidisciplinary Design Optimization Systems Optimization Operations Research or related Engineering or Applied Sciences fields
Previous work experience or demonstrated practical experience through industrial internships
A proven record of innovation and driving critical research in Applied Optimization in industry government or military
Experience developing intricate systems including establishing target system results and operation tolerances developing a system design analyzing this design use in relation to the function of the elements in the system developing system prototypes and testing and validating the developed design to quantify its value
Excellent interpersonal skills and a cando nevergiveup attitude
Experience with scripting languages (Python Ruby etc. SQL objectoriented programming languages (java C etc. optimization software and libraries (Matlab R etc. and simulation software
Exposure to relational databases and Linux
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179000/year in our lowest geographic market up to $309400/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.
This position requires drive and selfmotivation superior analytical thinking datadriven disposition application of technical knowledge to a business context effective collaboration with fellow scientists software development engineers and product managers effective communication of technical designs to technical and nontechnical audiences and close partnership with many stakeholders from operations finance IT and business leadership.
Key job responsibilities
Seek to understand in depth the end to end value chain of eCommerce across supply chain and marketing and identify areas of opportunities to grow our business using science solutions.
Lead science strategy and roadmap in OIH space
Drive alignment across organizations to achieve business goals
Lead/guide scientists and engineers across teams to develop test launch and improve of science models designed to optimize inventory value and customer experience.
Be responsible for communicating our innovations to the broader internal & external scientific community and business leadership.
Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML.
A day in the life
You will engage with distinguished scientists and Senior Principal scientists across organizations to shape the vision of the eCommerce decision systems across supply chain and marketing.
Our machine learning infrastructure built by talented engineering team (feature stores template based ML pipelines and integration with experiment and production systems) will enable you to quickly prototype and iterate your innovative ideas.
You will collaborate with talented product managers and software engineers to build the endtoend systems.
You will work with stakeholders across retail supply chain finance etc. to understand the business operation process and bottlenecks and build solution to provide the best experience to Amazon customers through automated OIH actions.
About the team
Supply Chain Optimization Technology (SCOT) is the core of the Amazon eCommerce business which leverage science models and systems to automate the decisions and operations of the most complex supply chain in the world. Optimal Inventory Health (OIH) maximize the inventory value in Amazon through all the levers across traffic marketing pricing and reverse logistics.
PhD in Multidisciplinary Design Optimization Systems Optimization Operations Research or related Engineering or Applied Sciences fields
Previous work experience or demonstrated practical industry experience
A proven record of innovation and driving critical research in Applied Optimization in industry government or military
Experience developing intricate systems including establishing target system results and operation tolerances developing a system design analyzing this design use in relation to the function of the elements in the system developing system prototypes and testing and validating the developed design to quantify its value
Excellent interpersonal skills and a cando nevergiveup attitude
Experience of handling large dataset
PhD in Multidisciplinary Design Optimization Systems Optimization Operations Research or related Engineering or Applied Sciences fields
Previous work experience or demonstrated practical experience through industrial internships
A proven record of innovation and driving critical research in Applied Optimization in industry government or military
Experience developing intricate systems including establishing target system results and operation tolerances developing a system design analyzing this design use in relation to the function of the elements in the system developing system prototypes and testing and validating the developed design to quantify its value
Excellent interpersonal skills and a cando nevergiveup attitude
Experience with scripting languages (Python Ruby etc. SQL objectoriented programming languages (java C etc. optimization software and libraries (Matlab R etc. and simulation software
Exposure to relational databases and Linux
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179000/year in our lowest geographic market up to $309400/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.
Required Experience:
Staff IC
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.
