Data Scientist III, Amazon 1P Credito, Payments

Amazon Science; São Paulo; On-site; BRL 350,000 - 480,000; Full time

Job summary

Amazon Science Brazil seeks a senior ML leader to generate power business insights from large datasets. You will design and deploy scalable ML models, collaborate with software engineers and business owners, and mentor a team of scientists and engineers.

Exposure to machine learning and GenAI is required to drive impactful, data-backed decisions. Lead end-to-end ML solutions in production, scale models across countries, and work closely with cross-functional teams to deliver measurable business

Qualifications

• Experience with data scripting languages (e.g. SQL, Python, R) or statistical software.
• Demonstrated leadership and mentoring on a data science team.
• Experience with statistical models (e.g. multinomial logistic regression).

Responsibilities

• Use ML and analytical techniques to create scalable solutions for business problems.
• Extract information from large datasets to automate and optimize processes.
• Design, develop, evaluate and deploy scalable ML models (risk, income, fraud).
• Research and implement novel ML and statistical approaches.
• Collaborate with software engineers to drive real-time model implementations.
• Work with business owners to optimize operations.
• Create scalable processes for data analyses, model development and validation.
• Mentor scientists and engineers in ML techniques.
• Innovate with GenAI for automated customer promotions.
• Deploy end-to-end ML solutions in Amazon production environments.
• Collaborate with cross-functional teams to scale models to millions of customers across countries.

Skills

Data scripting languages (SQL, Python,

R

Leadership

Mentoring

Statistical modeling

Education

Master's degree in statistics/mathematics/data science/analytics/economics/engineering/CS

Job description

Description

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 ml models such as risk scorecards, income models, fraud models for predictive learning in credit risk applications
• 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

Understand the credit risk data and evaluate the best ml model/ solution for dynamic business problems.

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 with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• Experience as a leader and mentor on a data science team
• Experience with statistical models e.g. multinomial logistic regression
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Preferred Qualifications

• Experience documenting modeling for technical and business leaders
• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience working with scientists, economists, software developers, or product managers
• Experience working in credit risk domain and building risk, income and/or fraud models.

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