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 design and implement 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:
* 2+ years of experience in a role developing predictive or explanatory models or experimentation processes
* Deep statistical & mathematical knowledge (regression, linear algebra, properties of distributions, etc.) and the ability to understand, utilize and innovate on state-of-the-art machine learning algorithms and statistical modeling
* Hands-on experience in Python
* Developing to production systems- an advantage
* MSc. or higher degree in math/statistics/computer science – an advantage
* Experience in working side-by-side with data engineers – an advantage
*
