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Job description
Data Scientist II, Amazon 1P Credito, Payments
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.
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 etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
Master's degree in computer science, engineering, mathematics or equivalent, or experience in a ML or data scientist role with a large technology company
Preferred Qualifications
Experience with AI/ML technologies
PhD in Computer Science, Computer Engineering, or related fields
Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
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 you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.