Applied Scientist ML Applications People eXperience Technology Central Science PXTCS
Applied Scientist ML Applications People eXperience Technology Central Science PXTCS
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Do you want to use your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide If you do People eXperience Technology Central Science (PXTCS) would love to talk to you about how to make that a reality.
PXTCS is an interdisciplinary team that uses economics behavioral science statistics and machine learning to identify products mechanisms and process improvements that both improve Amazonians wellbeing and their ability to deliver value for Amazons customers. We work with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world.
As an applied scientist on our team you will work with business leaders scientists and economists to translate business and functional requirements into concrete deliverables define the science vision and translate it into specific plans for applied scientists as well as engineering and product teams. You will partner with scientists economists and engineers on the design development testing and deployment of scalable ML and econometric models. This is a unique high visibility opportunity for someone who wants to have impact dive deep into largescale solutions enable measurable actions on the employee experience and work closely with scientists and economists. This role combines science leadership organizational ability and technical strength.
Key job responsibilities
Do you want to leverage your expertise in machine learning and data science to improve the lives and work of over a million people worldwide If so People eXperience Technology Central Science (PXTCS) would love to discuss how you can make that a reality.
PXTCS is an interdisciplinary team that uses economics behavioral science statistics and machine learning to identify products mechanisms and process improvements that enhance Amazonians wellbeing and their ability to deliver value for Amazons customers. We collaborate with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world.
As an Applied Scientist you will be responsible for developing and implementing machine learning solutions across our predictive modeling and forecasting workstreams. You will work on existing models and develop new ones that power leaders across Amazon to make decisions about their businesses. You will collaborate with scientists and engineers to deliver innovative solutions while working closely with business stakeholders to understand their needs.
You will work across different business domains (corporate operations safety) and analysis levels (individual group organizational) using various modeling approaches (linear tree deep neural network and LLMbased). You will develop endtoend ML solutions from problem formulation to deployment while maintaining high scientific standards and technical excellence.
Masters Degree in machine learning recommender systems statistics computer science operations research or other highly relevant field
Three or more years experience applying ML to solve complex problems for largescale applications
One or more years of experience specifically with deep learning (e.g. CNN RNN LSTM)
Experience in using Python or other programming languages
Ph.D. in Computer Science Machine Learning Statistics Applied Mathematics or a closely related field.
Experience delivering as part of crossdisciplinary teams.
Hands on experience developing ML models with deep learning frameworks and building production pipelines on the cloud.
Strong communication and presentation skills.
Comfortable working in a fast paced highly collaborative dynamic work environment.
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field.
Experience with generative AI.
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.
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 $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.
PXTCS is an interdisciplinary team that uses economics behavioral science statistics and machine learning to identify products mechanisms and process improvements that both improve Amazonians wellbeing and their ability to deliver value for Amazons customers. We work with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world.
As an applied scientist on our team you will work with business leaders scientists and economists to translate business and functional requirements into concrete deliverables define the science vision and translate it into specific plans for applied scientists as well as engineering and product teams. You will partner with scientists economists and engineers on the design development testing and deployment of scalable ML and econometric models. This is a unique high visibility opportunity for someone who wants to have impact dive deep into largescale solutions enable measurable actions on the employee experience and work closely with scientists and economists. This role combines science leadership organizational ability and technical strength.
Key job responsibilities
Do you want to leverage your expertise in machine learning and data science to improve the lives and work of over a million people worldwide If so People eXperience Technology Central Science (PXTCS) would love to discuss how you can make that a reality.
PXTCS is an interdisciplinary team that uses economics behavioral science statistics and machine learning to identify products mechanisms and process improvements that enhance Amazonians wellbeing and their ability to deliver value for Amazons customers. We collaborate with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world.
As an Applied Scientist you will be responsible for developing and implementing machine learning solutions across our predictive modeling and forecasting workstreams. You will work on existing models and develop new ones that power leaders across Amazon to make decisions about their businesses. You will collaborate with scientists and engineers to deliver innovative solutions while working closely with business stakeholders to understand their needs.
You will work across different business domains (corporate operations safety) and analysis levels (individual group organizational) using various modeling approaches (linear tree deep neural network and LLMbased). You will develop endtoend ML solutions from problem formulation to deployment while maintaining high scientific standards and technical excellence.
Masters Degree in machine learning recommender systems statistics computer science operations research or other highly relevant field
Three or more years experience applying ML to solve complex problems for largescale applications
One or more years of experience specifically with deep learning (e.g. CNN RNN LSTM)
Experience in using Python or other programming languages
Ph.D. in Computer Science Machine Learning Statistics Applied Mathematics or a closely related field.
Experience delivering as part of crossdisciplinary teams.
Hands on experience developing ML models with deep learning frameworks and building production pipelines on the cloud.
Strong communication and presentation skills.
Comfortable working in a fast paced highly collaborative dynamic work environment.
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field.
Experience with generative AI.
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.
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 $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
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