Machine Learning/Data Mining Scientist/Business Intelligence Engineer
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Do you want to join an innovative team of scientists who use machine
learning and statistical techniques to keep Amazon the safest and most
trusted place to shop online? Do you want to build advanced algorithmic
systems that help manage the trust and safety of millions of transactions
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 own end-to-end business problems/metrics and
directly impact the profitability of the company? Do you like to innovate
and simplify? If yes, then you may be a great fit to join the Amazon
Transaction Risk Management Systems group.
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Major responsibilities
- Use statistical and machine learning techniques to create scalable fraud
detection 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 fraud detection and 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
Basic qualifications
- A MS in Statistics, CS machine learning, Operational research or in a
highly quantitative field
- 1+ years of hands-on experience in predictive modeling and analysis
- 1+ years SAS or Metlab experience
Preferred qualifications
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- A PhD in Statistics, CS machine learning, Operational research
- 1+ years of industry experience in predictive modeling and analysis
- Strong communication and data presentation skills
- Strong problem solving ability
- Good skills with SQL
- Good skills with Perl (or similar scripting language), Java or C++
