Data Sciences Lead 2 reviews - Palo Alto, CA

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We are seeking talented, energetic and self-driven individuals to join our Sponsored Links team that is part of the Advertising Technology group. The team owns systems that enhance user experience and improve monetization on Amazon's online & mobile properties, including, by showing relevant ads based on users' intent, context & behavior. Working with Amazon’s massive data repository, the team develops insights to power the systems that serve hundreds of millions of requests per day with stringent latency requirements in a fault-tolerant manner.

As a Data Sciences Lead, you will:
  • Lead data science initiatives and a group of Data Sciences Engineers to deliver solutions that increase traffic monetization without compromising customer experience and balancing the impact to merchandise sales
  • Perform hands-on data analysis and modeling with huge data sets to explore alternative designs
  • Run regular A/B experiments, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and senior management
  • Apply data mining techniques and machine learning to improve our targeting algorithms
  • Work side-by-side with product managers and software engineers in designing experiments as well as developing long term product roadmaps
  • Attract and recruit technical talent with PhD and Master's level educational backgrounds
Basic Qualifications:
  • At least 5 years industry experience in performing A/B experiments, and applying Data Mining and Machine Learning techniques to solve business problems
  • At least 3 years experience in leading large data analysis projects to increase monetization
  • At least 3 years of experience with a statistical modeling tool such as R
  • Master's degree in Computer Science or related field
  • At least 2 years of experience with a scripting language such as Python
  • At least 2 years of experience with SQL and an RDBMS (such as Oracle) or Datawarehouse
Preferred Qualifications:
  • PhD in Computer Science or related field
  • Background in keyword advertising
  • Experience in managing researchers or data scientists
  • Experience with Big Data technologies like Hadoop, Pig & Hive
  • Ability to communicate complex technical concepts and solutions to all levels of the organization

A9 is an Equal Opportunity Employer.

About this company
2 reviews
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