Webiz International

Data Science / Machine Learning developer

Webiz International Tbilisi, Georgia
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Direct message the job poster from Webiz International

🚀 On behalf of eToro, Webiz is looking for a Data Science / Machine Learning developer join the team on a full-time basis.



Company Description:


eToro is the world’s leading social trading network, providing millions of users from around the world a one-stop-shop solution for their trading and investing needs. Since 2007, eToro has positioned itself as a Fintech leader, pioneering revolutionary practices such as social trading and machine-learning-powered investment products.


⚡️What will you be doing?


Research, Design, Implement and Deliver analytics-based algorithms to solve key business


  • Design and implement data driven features that will be integrated into company’s key products
  • Design and implement full data mining and machine learning cycles
  • Data sources extraction, feature selection and engineering
  • Building Models
  • Evaluation and improvements
  • Interface with R&D Groups
  • Product managers, BI teams and business stakeholders




⚡️Requirements:


● BSc Degree in Computer Science, Information Management, Industrial/Electronics

Engineering or related fields (MSc/Phd is an advantage)

● Practical hands on experience/knowledge in developing algorithms in the fields of

data science, machine learning or similar (experience in fields of trading/fintech –BIG

advantage)

● 3+ years experience in researching and implementing algorithms using Python

● Excellent programming skills and deep knowledge of machine learning. Not

knowledge of packages but rather knowledge of how things work

● Fluency in SQL

● Experience with Big Data is an advantage

● Strong analytical skills and original thinking

● Strong system level understanding of problems

● Independent and innovative with the ability to lead problem definition and goal

definition processes

● Good communication skills

● Ability to simplify complex subjects

● High level of English 


  • Seniority level

    Not Applicable
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Information Technology & Services

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