Applied Scientist - Amazon Connections

US-WA-Seattle
11 months ago
Job ID
468258
Amazon Corporate LLC
Position Category
Machine Learning Science

Job Description

Amazon Connections is an innovative program that gives Amazonians an effective way to share feedback and help shape the future of the company. By leveraging machine learning and employee data, our systems create a continuous feedback mechanism to raise the bar on leadership and introduce positive changes in the workplace. Our goal is to help develop leaders who earn trust, remove barriers to excellence and make Amazon an inspiring place to work.

The Connections Personalization Modeling team at Amazon.com is an applied research team, a combination of highly skilled engineers and scientist, who are working on the next generation of recommendations to improve our workplace and develop our people. We experiment rapidly using the latest machine learning techniques such as Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs) and Matrix Factorization. We work with Machine Learning experts across Amazon to deliver the best possible recommendations, leveraging Amazon’s vast computing resources (AWS) and data. We deal with large amounts of training data, rapid prototyping, offline/online testing and high-performance requirements.

Major responsibilities:
  • Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key features and processes.
  • Work closely with software engineering teams to drive new feature creation
  • Work closely with stakeholders to optimize various business operations
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Track general business activity and provide clear, compelling management reporting on a regular basis
  • Research and implement novel statistical approaches
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Basic Qualifications

Basic Qualifications
  • MS. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • 1+ years of hands-on experience in predictive modeling and analysis
  • Strong algorithm development experience
  • Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language




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Preferred Qualifications

Preferred Qualifications
The ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, Economics, or a related quantitative field, and 2+ years of relevant work experience, including:
  • Significant peer reviewed scientific contributions in relevant field.
  • Extensive experience applying theoretical models in an applied environment.
  • Expertize on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametrics methods.
  • Strong Experience in Structured Prediction and Dimensionality Reduction.
  • Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).
  • Proven track record of production achievements in language, search and personalization.
  • Strong fundamentals in problem solving, algorithm design and complexity analysis.
  • Strong personal interest in learning, researching, and creating new technologies with high commercial impact.
  • Experience with defining organizational research and development practices in an industry setting.
  • Proven track in leading, mentoring and growing teams of scientists (teams of five or more scientists).
  • Strong communication and data presentation skills

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
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