Offers “Amazon”

Expires soon Amazon

Applied Science Manager (Machine Learning)

  • Seattle (King)
  • Project / Product management

Job description

DESCRIPTION

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data 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 Machine Learning and Data Sciences team for our India Consumer Businesses.

If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.

The Machine Learning Manager role at Amazon will be a technical team leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon's systems using cutting edge quantitative techniques. This is one of the most exciting machine learning job opportunities on the internet today. If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.

Desired profile

BASIC QUALIFICATIONS

· A PhD in CS machine learning, Engineering, Statistics, Operations research or in a highly quantitative field
· 4+ years of hands-on experience developing and implementing machine learning algorithms and models. Strong demonstrated skills implementing and deploying large scale machine learning applications and tools.
· 2+ years of experience managing analytics/software teams
· 2+ years of technical project management experience
· Hands-on experience in solution design, programming and prototyping for predictive analytics applications
· Communication and data presentation skills
· Problem solving ability.

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