Data Scientist

Natural Intelligence is a global leader in the online comparison market. Our goal is to simplify decision-making and connect customers with valuable brands.

Our technology helps millions of consumers around the world make smarter, more confident buying decisions. We do so by creating trusted comparison websites that enable consumers to easily compare products and services online and form high-value relationships with the brands they choose. Our partner brands, some of which are among the most prominent websites worldwide, utilize our platform to maximize their online presence.

Natural Intelligence is one of the top 50 Google Adwords customers worldwide (#1 in Israel!), with an annual spend of hundreds of millions of dollars.

We are looking for a top-notch data scientist to lead the design and implementation of the machine learning models and pipelines in Natural Intelligence’s experimentation and personalization platforms, using cutting edge technology and tools.

Responsibilities:

  •      End-to-end ownership, from design to deploy, on models and components of our experimental and personalization systems.
  •      Develop algorithm-based systems to support business decisions, taking end-to-end ownership - from design to deploy.
  •      Develop models that help us understand and describe our customers – e.g. learning how to extract deep interests and tendencies from event streams.
  •      Develop production code for both batch and real time models in collaboration with our data and service engineering teams.
  •      Manage an iterative experimentation portfolio, which validates and feeds back into our core customer understandings.
  •      Build processes to support fast iterative experimentation, both for model creation and for customer-facing products.

Requirements

  •      3+ years of experience in a role developing predictive or explanatory models and/or experimentation processes
  •      Deep mathematical knowledge and ability to understand, utilize and innovate on state-of-the art machine learning algorithms and/or statistical modeling
  •      Good understanding of data structures and data architecture principles
  •      Expertise in at least one programming languages (e.g. Java, Python, Scala)
  •      MSc. or higher degree in math/statistics/computer science - an advantage
  •      Experience in working side-by-side with data-engineers - an advantage
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Data Scientist