About The Position

As a data scientist architect, you’ll solve real-world business problems using Kenshoo's data: internal and 3rd party user interactions (big data), publisher data (Google, Facebook, Amazon, Bing, Apple, etc.) and other industry data.  You will focus on creating real value for our customers by creating optimization and actionable insights. You will tackle novel problems in a dynamic field and environment. You will have a unique and rare opportunity to be part of the product strategy and have a great influence on the company’s future. Our Data Scientist work on the following tasks: Researching, create and improve ML pipeline, creating measurement tools, write optimization functions, providing data visualization of analyzed results and find insights

The ideal candidate should have not only technical and mathematical knowledge but also a strong business understanding, ability to effectively communicate with different stakeholders, work with them to define the right question  and provide a framework to answer them. 


  • Collaborate with a wide range of internal and external people and teams to solve complex business problems.
  • Work with data scientists and dev teams to build data driven products.
  • Work with product managers to discover how data science can be used in new products and areas.
  • Collaborate with dev architects to improve data flow and accessibility. 
  • Advocate for our algorithmic solutions, data driven approaches and view of digital marketing in the organization.
  • POCs (proof of concept) that will be tested in production to solve complex business problems using machine learning tools.


  • An all-around data scientist: strong statistics background, experience in algorithm programming, experimentation, data visualization, machine learning, optimization and big data
  • Master's degree in a quantitative discipline. PhD is an advantage.
  • 5 years of work experience as a data scientist/researcher in the industry using common machine learning frameworks and cloud providers 
  • Excellent communication and collaboration skills.
  • Experience in digital marketing or e-commerce is an advantage

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