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Applied Scientist, Buyer Abuse Prevention

Job Description :
Job summary
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 preventing eCommerce abuse
Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems
Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company Do you enjoy collaborating in a diverse team environment
If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.
Major responsibilities
Use statistical and machine learning techniques to create scalable risk management systems
Learning 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 implement novel machine learning and statistical approaches
Please visit for more information
Basic Qualifications :
PhD or equivalent Master's Degree plus 2+ years of experience in CS, CE, ML or related field
2+ years of experience of building machine learning models for business application
Experience programming in Java, C++, Python or related language
Preferred Qualifications :
A PhD in CS, Machine Learning, Statistics, Operations Research or relevant field
2+ years of industry experience in predictive modeling and analysis
Strong Machine Learning breadth and depth
Strong skills with SQL
Strong skills with Spark/Python/Perl (or similar)
Ability to think creatively and solve problems
Good written and spoken communication skills
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
hyderabad, TG, IN