Amazon.com Services LLC

Machine Learning Science, Applied Science, selling partner services

AppliedScientist,AccountIntegrity

$136–223k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Applied Scientist, Account Integrity at Amazon.com Services LLC. Skills: Machine learning, Risk management, Data analysis. Use statistical and machine learning techniques. Create scalable risk management systems”

Industry & Context.

Machine Learning Science, Applied Science, selling partner services
Problems you'll solve

Problem solving

What They're Looking For.

Must Have

Master's degree and 4+ years experience, Experience programming in Java, C++, Python, 3+ years predictive modeling experience, 3+ years large data analysis experience

Nice to Have

PhD in Computer Science, Machine Learning, Statistics, 3+ years industry experience, Python/Spark skills, Java/C++ skills, SQL skills, Problem solving ability, Dive deep ability, Communication skills, Writing skills, Data presentation skills

What You'll Do.

Use statistical and machine learning techniques

Create scalable risk management systems

Analyze business data

Understand risk trends

Design innovative models

Develop innovative models

Evaluate innovative models

Drive real-time model implementations

Optimize risk management operations

Establish scalable processes

Establish efficient processes

Establish automated processes

Perform large scale data analyses

Perform model development

Perform model validation

Perform model implementation

Track general business activity

Provide management reporting

Research machine learning approaches

Implement machine learning approaches

Research statistical approaches

Implement statistical approaches

How You'll Work.

Team & Collaboration

Software engineering teams; Operations staff

Communication Scope

Data presentation

Full Job Description

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team. The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation. Key job responsibilities - Use statistical and machine learning techniques and Generative AI to create scalable risk management systems - Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends - Design, development and evaluation of highly innovative models for risk management - Working closely with software engineering teams to drive real-time model implementations and new feature creations - Working closely with operations staff to optimize risk management operations - Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Tracking general business activity and providing clear, compelling management reporting on a regular basis - Research and impl

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