Data Scientist

About Cyabra:
Cyabra’s technology filters through social conversations to empower brands and uncover disinformation. Our powerful lens taps into hives of activity that are connected by common interests and passions to provide a deeper understanding of what drives consumers to help brands make smarter decisions.  

Responsibilities: 

  • As a Data Scientist, you should love analyzing, mining and doing crazy things with data, and be great at it! Our team is the place where all your analytic skills will come into action.
  • You will develop new machine & deep learning and statistical algorithms in a Big Data ecosystem. You will work together with other researchers and Data engineers, and collaborate with the CPO to achieve superior results. 
  • On a day to day, some of your responsibilities will include:
    • Building Machine Learning pipelines into production
    • Owning and improving the algorithm and data accuracy
    • Developing novel algorithms and investigating new technologies
    • Explore new data sources and methods supporting the accuracy of the algorithms

Qualifications:

  • Over 3 years of experience developing machine learning/image processing/NLP and similar algorithms – Must
  • PHD/ M.Sc. in Computer Science/Mathematics/Physics or any other relevant field – Incredible Advantage
  • Experience with probability theory and statistics – Must
  • Experience with statistical and machine learning tools – Python, etc. – Must
  • Experience with MongoDB – Incredible Advantage
  • Good coding skills – Cool

Personal Note:

To fit this role, you need a solid background in data science, and to be passionate about what you do (if you apply with the word “pineapple”, we will grant you 2 points in a game of Catan).

You should have a can-do attitude and be willing to take on ownership of the code you write, and be responsible for critical tasks and fixes when they happen, in real-time.

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