Data Scientist II, Payment Acceptance and Experience
Data Scientist II, Payment Acceptance and Experience
Posted on :
20-05-2025
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1 Vacancy
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Job Description
The Amazon Payment Acceptance & Experience team is responsible for how Amazons customers pay on Amazons online and physical stores and through Amazons services around the globe. We recognize that payment preferences and regulations vary widely from one region to another and we obsess over not just how customers want to pay today but also the ways they will want to pay years in the future. The vision for the PAE Data Science (DS) team is to transform payments data into insight for business decisions tools for controllership of payments metrics and models to improve customer payment experiences such as purchase success rate (PSR) and payment method adoption. We also seek opportunities to improve PAE productivity through automation. PAE Data Science combines the unique skills sets of data science and engineering disciplines to generate value for payment experiences and partner management.
Were looking for a Data Scientist capable of using generative AI and other techniques to design evangelize and implement stateoftheart solutions for neverbeforesolved problems specifically building quick prototypes for GenAI Agents to automate repetitive tasks. You will develop models that provide insight into customers paying behavior design and run experiments to improve Payments core metrics such as PSR Total processing volume and Cost of Payments. You will interact with stakeholders across Marketing Product and Software to unearth problems that can be solved better faster and at lower cost using latest literature in Machine Learning and GenAI. You will contribute to teams Data Science roadmap and mentor other Data Scientists in the team.
The right candidate is willing to experiment with new tools & technology transform ambiguous business problems into scientific solutions that are delivered iteratively and obsesses over incremental improvements in existing solutions to address customer pain points.
Key job responsibilities
Building GenAI Agent prototypes to improve KOW productivity and transform Data Analytics within PAE
Evaluating Downstream impact of customers payments interactions and influencing Amazonwide metrics to be Payments aware (CP OPS DSE etc.)
Develop machine learning models that inform PAEs Marketing efforts through customer targeting incentive optimization and personalized messaging.
Identifying new opportunities to influence business strategy and product vision using data science and machine learning.
Leading the project plan from a scientific perspective on product launches including identifying potential risks key milestones paths to mitigate risks and success metrics.
Working through significant business and technical ambiguity to continually improve PAE Data Science teams roadmap with autonomy.
Coordinating support across engineers scientists and stakeholders to deliver ML pipelines analytics projects and build proof of concept applications.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include: 1. Medical Dental and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
2 years of data scientist experience
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Ability to convey mathematical results to nonscience stakeholders.
Experience building data products incrementally and integrating and managing datasets from multiple sources
Ability to deal with ambiguity and competing objectives in a fastpaced environment.
5 years of a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science experience
Experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2
Experience with building GenAI agents for task automation
Experience in payments and payment products
Peer reviewed scientific research papers published internally or externally
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 $125500/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.
Were looking for a Data Scientist capable of using generative AI and other techniques to design evangelize and implement stateoftheart solutions for neverbeforesolved problems specifically building quick prototypes for GenAI Agents to automate repetitive tasks. You will develop models that provide insight into customers paying behavior design and run experiments to improve Payments core metrics such as PSR Total processing volume and Cost of Payments. You will interact with stakeholders across Marketing Product and Software to unearth problems that can be solved better faster and at lower cost using latest literature in Machine Learning and GenAI. You will contribute to teams Data Science roadmap and mentor other Data Scientists in the team.
The right candidate is willing to experiment with new tools & technology transform ambiguous business problems into scientific solutions that are delivered iteratively and obsesses over incremental improvements in existing solutions to address customer pain points.
Key job responsibilities
Building GenAI Agent prototypes to improve KOW productivity and transform Data Analytics within PAE
Evaluating Downstream impact of customers payments interactions and influencing Amazonwide metrics to be Payments aware (CP OPS DSE etc.)
Develop machine learning models that inform PAEs Marketing efforts through customer targeting incentive optimization and personalized messaging.
Identifying new opportunities to influence business strategy and product vision using data science and machine learning.
Leading the project plan from a scientific perspective on product launches including identifying potential risks key milestones paths to mitigate risks and success metrics.
Working through significant business and technical ambiguity to continually improve PAE Data Science teams roadmap with autonomy.
Coordinating support across engineers scientists and stakeholders to deliver ML pipelines analytics projects and build proof of concept applications.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include: 1. Medical Dental and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
2 years of data scientist experience
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Ability to convey mathematical results to nonscience stakeholders.
Experience building data products incrementally and integrating and managing datasets from multiple sources
Ability to deal with ambiguity and competing objectives in a fastpaced environment.
5 years of a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science experience
Experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2
Experience with building GenAI agents for task automation
Experience in payments and payment products
Peer reviewed scientific research papers published internally or externally
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 $125500/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
Key Skills
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