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 Amazons 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.

- 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
- Masters degree in computer science engineering mathematics or equivalent or experience in a ML or data scientist role with a large technology company

- 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

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