Applied Scientist II, Workforce Solutions, PXTCS
Applied Scientist II, Workforce Solutions, PXTCS
Posted on :
07-08-2025
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1 Vacancy
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Job Description
The PXT Central Science Team in Workforce Solutions is looking for a Applied Scientist who is interested in solving challenging optimization problems in the labor scheduling and operations efficiency space. We are actively looking to hire senior scientists to lead one or more of these problem spaces. Successful candidates will have a deep knowledge of Operations Research and Machine Learning methods experience in applying these methods to large-scale business problems the ability to map models into production-worthy code in Python or Java the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers and the excitement to take iterative approaches to tackle big research challenges. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving be able to measure and estimate risks constructively critique peer research and align research focuses with the Amazons strategic needs.
Key job responsibilities
Candidates will be responsible for developing solutions to better manage and optimize flexible labor capacity. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. As a senior scientist you will also help coach/mentor junior scientists on the team.
In this role you will be a technical leader in applied science research with significant scope impact and high visibility. You will lead science initiatives for strategic optimization and capacity planning. They require superior logical thinkers who are able to quickly approach large ambiguous problems turn high-level business requirements into mathematical models identify the right solution approach and contribute to the software development for production systems.
Invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives.
Successfully deliver large or critical solutions to complex problems in the support of medium-to-large business goals.
Apply mathematical optimization techniques and algorithms to design optimal or near optimal solution methodologies to be used for labor planning.
Research prototype simulate and experiment with these models and participate in the production level deployment in Python or Java.
A day in the life
As a member of our team youll work on projects that directly impact over a million Amazon associates. This is a high-impact role with opportunities to designing and improving complex labor planning and cost optimization models. The successful candidate will be a self-starter comfortable with ambiguity with strong attention to detail and ability in balancing technical leadership with strong business judgment to make the right decisions about model and method choices.
About the team
Workforce Solutions (WS) is a horizontal multi-discipline organization whose mission is to build the best people-forward technology to enable corporate recruitment for Amazon globally. We build the intelligent technology products Amazon uses to make the right hiring decisions every time while being more equitable and candidate-centric in the end-to-end experience. We accomplish this by using our ability in product and program management and design/research. Our portfolio of products is global (built mostly on native AWS) accounting for recruitment for all corporate roles. From the candidate-facing job site to ensuring the role is filled - we build the entire gamut. We value people-centric solutions and open exchange of ideas.
- 1 years of programming in Java C Python or related language experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience building machine learning models or developing algorithms for business application
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience in building machine learning models for business application
- Experience using Unix/Linux
- Experience in professional software development
- Experience implementing algorithms using both toolkits and self-developed code
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 $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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
Key job responsibilities
Candidates will be responsible for developing solutions to better manage and optimize flexible labor capacity. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. As a senior scientist you will also help coach/mentor junior scientists on the team.
In this role you will be a technical leader in applied science research with significant scope impact and high visibility. You will lead science initiatives for strategic optimization and capacity planning. They require superior logical thinkers who are able to quickly approach large ambiguous problems turn high-level business requirements into mathematical models identify the right solution approach and contribute to the software development for production systems.
Invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives.
Successfully deliver large or critical solutions to complex problems in the support of medium-to-large business goals.
Apply mathematical optimization techniques and algorithms to design optimal or near optimal solution methodologies to be used for labor planning.
Research prototype simulate and experiment with these models and participate in the production level deployment in Python or Java.
A day in the life
As a member of our team youll work on projects that directly impact over a million Amazon associates. This is a high-impact role with opportunities to designing and improving complex labor planning and cost optimization models. The successful candidate will be a self-starter comfortable with ambiguity with strong attention to detail and ability in balancing technical leadership with strong business judgment to make the right decisions about model and method choices.
About the team
Workforce Solutions (WS) is a horizontal multi-discipline organization whose mission is to build the best people-forward technology to enable corporate recruitment for Amazon globally. We build the intelligent technology products Amazon uses to make the right hiring decisions every time while being more equitable and candidate-centric in the end-to-end experience. We accomplish this by using our ability in product and program management and design/research. Our portfolio of products is global (built mostly on native AWS) accounting for recruitment for all corporate roles. From the candidate-facing job site to ensuring the role is filled - we build the entire gamut. We value people-centric solutions and open exchange of ideas.
- 1 years of programming in Java C Python or related language experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience building machine learning models or developing algorithms for business application
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience in building machine learning models for business application
- Experience using Unix/Linux
- Experience in professional software development
- Experience implementing algorithms using both toolkits and self-developed code
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 $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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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
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