Data Scientist II, Amazon 1P Credito, Payments
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Before you apply
LocationSao Paulo, Sao Paulo, BRA
Typefull-time
SeniorityMid
DepartmentData Science
Company size10,000+ people
PostedOct 6, 2026 · 4w ago
Verified live17h ago
At a glanceSummarised by Seekless from the posting.
Experience working as a Data Scientist
Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
Experience with machine learning/statistical modeling data analysis tools and techniques
Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM)
Master's degree in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience working in credit risk domain and building risk, income and/or fraud models
Skills
SQL
Python
R
SAS
Matlab
Perl
About the role
Do you feel the challenge and the adrenaline kick when a huge data-set stares you in the face and you know that somewhere inside are hidden very important business insights that can fundamentally alter the way top business leaders think and act? Do you enjoy presenting strong data backed insights to business leaders; insights that can topple their long held beliefs and compel them to change their direction completely? If yes, then you are the one we are looking for.
We are looking to invite passionate leaders, with expertise in generate power business insights from very large datasets, on a journey where the primary aim would be to enable needle moving business impacts through statistical analysis. We are looking for leaders who can envision the design and development of analytical infrastructure which can support strategic and tactical decision-making. Those who join this high visibility team would have to navigate through significant ambiguity in defining business problems and converting them to analytical problems.
This role requires additional exposure and experience to Machine Learning.
Responsibilities
Key job responsibilities
• Use machine learning and analytical techniques to create scalable solutions for business problems
• Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
• Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
• Research and implement novel machine learning and statistical approaches
• Work closely with software engineering teams to drive real-time model implementations and new feature creations
• Work closely with business owners and operations staff to optimize various business operations
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Mentor other scientists and engineers in the use of ML techniques
• Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions
• Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to delight Amazon customers
• Collaborate with cross-functional teams to develop comprehensive ML/statistical models that can scale to millions of customers to multiple countries
About the team
Brazil Payments is part of the International Emerging Stores Payments team and focuses on supporting the launch of new payment and financial products to our customers in Brazil.
Basic qualifications
•
Experience working as a Data Scientist
•
Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
•
Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
•
Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM)
Preferred qualifications
•
Master’s degree in Science, Technology, Engineering, or Mathematics (STEM)
•
Knowledge of machine learning concepts and their application to reasoning and problem-solving
•
Experience in Python, Perl, or another scripting language
•
Experience in a ML or data scientist role with a large technology company
•
Experience working in credit risk domain and building risk, income and/or fraud models.
Legal
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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