13 days old

Head of Data Science, Alexa Internet

San Francisco, California

Alexa.com, the marketing and audience analytics subsidiary of Amazon.com, is seeking a creative, entrepreneurial, and customer-obsessed Head of Data Science. The ideal candidate will lead a team of applied scientists to apply cutting edge research and state-of-the-art machine learning algorithms to the development of scalable AI solutions. They have a broad and deep background in machine learning, robust experience as a team leader, a passion for hands-on experimentation and research, a strong drive for learning about and deploying new technologies, and a desire to collaborate with both technical and nontechnical peers.

At Alexa.com, we solve ML problems in natural language processing and understanding, search relevance and ranking, and digital behavior measurement and prediction. As part of Alexa.com, you will work as a science team leader and will be responsible for the delivery of new scientific solutions. You will contribute in multiple areas such as statistical modeling, NLP and NLU, dimensionality reduction, and deep learning. As a hands-on leader, you will formulate and test hypotheses, evaluate and implement ML techniques, and collaborate with engineering teams to deliver new production services that will be used by millions of users worldwide.

We have been gathering and analyzing data from online sources for more than 20 years, with terabytes of archived crawl data, a data-contributing panel of millions of users in countries around the world, and millions of unique website visitors each month. This position provides the qualified candidate with an opportunity to join our smart, motivated team and to directly impact our business.

Alexa.com is a subsidiary of Amazon.com, serving millions of users worldwide and building the next generation of marketing analytics services. Our mission is to be most invaluable and trusted source of ground-breaking insights into digital behavior that customers use to win their audience and accelerate growth. For more information, visit www.alexa.com.

Core Responsibilities

  • Lead a team of Applied Scientists to develop novel modeling techniques for pattern recognition, prediction, classification, and other complex data science problems
  • Design and execute experiments, develop prototypes, evaluate solutions to ensure they meet the needs of the business, and assess the scope and feasibility of technical approaches
  • Write high quality code and contribute to our codebase of scientific applications using relevant technologies
  • Collaborate with engineering teams on the delivery of new production services
  • Contribute to strategic planning and project management for a variety of technical initiatives
  • Effectively communicate with customers, senior management, and colleagues with diverse roles and technical backgrounds
  • Document methodologies and increase our institutional knowledge based on experimental results and operationalized solutions
  • Develop best practices for scientific processes and ensure timely delivery of robust, scalable solutions


Basic Qualifications

  • PhD degree in Computer Science, Applied Mathematics, Statistics, Physics, or Electrical Engineering, and 5+ years of related work experience
  • 2+ years of experience directly managing a data science team
  • Experience with major programming language appropriate for data science such as Python, Scala, Java, or C++

Preferred Qualifications

  • Proficiency with project management and issue tracking systems
  • Expertise with a broad suite of machine learning techniques, natural language processing, and statistics
  • Experience working effectively with software engineering teams, product managers, and designers
  • A keen scientific mind with a proven ability to think critically and invent
  • Experience with statistical and mathematical libraries and software
  • Excellent oral and written communication skills and a strong discipline for documenting methodologies and applications
  • A track record of thought leadership & contributions that have advanced the field
  • Expertise in artificial intelligence techniques and methodologies
  • Experience with modern methods for parallelized processing of large, distributed datasets (e.g. Spark, Hadoop, Map-reduce)
  • Experience with AWS technologies such as EC2, S3, and Elastic Map Reduce, and ElasticSearch
  • Peer-reviewed publications in top MLP, AI, or ML conferences or journals
  • Experience working with web data (corpus of HTML documents, browse clickstreams, server logs)
  • Proficiency with relational databases, Linux, and AWS solutions


Posted: 2020-03-26 Expires: 2020-05-26

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Head of Data Science, Alexa Internet

San Francisco, California

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