Applied Scientist II, People eXperience Technology Central Science (PXTCS)
Applied Scientist II, People eXperience Technology Central Science (PXTCS)
Posted on :
25-07-2025
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
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 well-being 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.
Key job responsibilities
As an Applied Scientist II you will be responsible for developing and implementing machine learning solutions across our predictive modeling and forecasting work-streams. 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.
A day in the life
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 LLM-based). You will develop end-to-end ML solutions from problem formulation to deployment while maintaining high scientific standards and technical excellence.
- 5 years of solving business problems through machine learning data mining and statistical algorithms experience
- PhD or a Masters degree and experience in CS CE ML or related field research
- Strong programming skills in Python and experience with ML frameworks
- Experience with machine learning algorithms and statistical analysis
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
- PhD in computer science machine learning engineering or related fields
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in predictive modeling forecasting and causal inference
- Experience with cloud computing platforms (AWS preferred)
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.
PXTCS is an interdisciplinary team that uses economics behavioral science statistics and machine learning to identify products mechanisms and process improvements that enhance Amazonians well-being 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.
Key job responsibilities
As an Applied Scientist II you will be responsible for developing and implementing machine learning solutions across our predictive modeling and forecasting work-streams. 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.
A day in the life
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 LLM-based). You will develop end-to-end ML solutions from problem formulation to deployment while maintaining high scientific standards and technical excellence.
- 5 years of solving business problems through machine learning data mining and statistical algorithms experience
- PhD or a Masters degree and experience in CS CE ML or related field research
- Strong programming skills in Python and experience with ML frameworks
- Experience with machine learning algorithms and statistical analysis
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
- PhD in computer science machine learning engineering or related fields
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in predictive modeling forecasting and causal inference
- Experience with cloud computing platforms (AWS preferred)
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
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.
