About The Position

Hi! Thanks for checking out the Data Scientist position.

Who are we?

  • Skai (formerly Kenshoo) is a leading omnichannel marketing platform that uniquely connects data and performance media for informed decisions, high efficiencies, and optimal returns. Its partners include Google, Meta, Amazon Ads, TikTok, Snapchat, Walmart Connect, Instacart, Roundel, Criteo, CitrusAd, Pinterest, Microsoft, LinkedIn, Apple Search Ads, and more.
  • We’re 700 employees strong and growing every day! ~$7 billion in ad spending is managed on the SkaiTM platform every year, driving hundreds of billions in commerce decisions and sales transactions. 
  • Established in 2006, we are a thriving organization, with a unique startup culture, an incredible track record of success, and an amazing future in sight! 
  • We are hybrid for the long term - with a great home/ office work mix, passionate and diverse team members, and a vibrant company culture.


What will you do?

  • As a Data Scientist in SKAI, you will be a part of a large and innovative data science group, working closely with Dev teams and product managers, to create business value through Data Science and Machine Learning methods at the edge of technology, on diverse datasets.
  • The Role consists of understanding customers' needs and product requirements, exploring data, identifying and defining functionality from conception to delivery, creating and improving algorithms and ML pipelines, building measurement tools, providing data visualizations, and more.
  • Ultimately, your code will go all the way to production, with all the responsibility and satisfaction.

Requirements

  • M.Sc. in Computer Science, Mathematics, Statistics, Physics, Industrial Engineering or related fields from a known university.
  • 4+ years of significant hands-on data science experience, or PhD with extensive and relevant research experience.
  • Strong programming skills in python. Ability to write clean and concise code.
  • Strong analytical skills.
  • Comfortable diving into challenging, often open-ended problems.
  • Strong communication skills, critical thinking, team player, fast learner.

Advantage

  • if you have experience with one or more of the following : 
  • Time series modeling and analysis.
  • Deep Learning, using Tensorflow/Keras/pyTorch.
  • Bayesian modeling/regression

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